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Bump the pip group across 3 directories with 6 updates #62

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@dependabot dependabot bot commented on behalf of github Jan 22, 2026

Bumps the pip group with 6 updates in the / directory:

Package From To
requests 2.32.3 2.32.4
transformers 4.45.2 4.53.0
sentencepiece 0.2.0 0.2.1
vllm 0.6.3 0.14.0
torch 2.5.0 2.8.0
urllib3 1.26.6 2.6.3

Bumps the pip group with 1 update in the /docs directory: urllib3.
Bumps the pip group with 4 updates in the /rankify directory: requests, transformers, sentencepiece and torch.

Updates requests from 2.32.3 to 2.32.4

Release notes

Sourced from requests's releases.

v2.32.4

2.32.4 (2025-06-10)

Security

  • CVE-2024-47081 Fixed an issue where a maliciously crafted URL and trusted environment will retrieve credentials for the wrong hostname/machine from a netrc file. (#6965)

Improvements

  • Numerous documentation improvements

Deprecations

  • Added support for pypy 3.11 for Linux and macOS. (#6926)
  • Dropped support for pypy 3.9 following its end of support. (#6926)
Changelog

Sourced from requests's changelog.

2.32.4 (2025-06-10)

Security

  • CVE-2024-47081 Fixed an issue where a maliciously crafted URL and trusted environment will retrieve credentials for the wrong hostname/machine from a netrc file.

Improvements

  • Numerous documentation improvements

Deprecations

  • Added support for pypy 3.11 for Linux and macOS.
  • Dropped support for pypy 3.9 following its end of support.
Commits
  • 021dc72 Polish up release tooling for last manual release
  • 821770e Bump version and add release notes for v2.32.4
  • 59f8aa2 Add netrc file search information to authentication documentation (#6876)
  • 5b4b64c Add more tests to prevent regression of CVE 2024 47081
  • 7bc4587 Add new test to check netrc auth leak (#6962)
  • 96ba401 Only use hostname to do netrc lookup instead of netloc
  • 7341690 Merge pull request #6951 from tswast/patch-1
  • 6716d7c remove links
  • a7e1c74 Update docs/conf.py
  • c799b81 docs: fix dead links to kenreitz.org
  • Additional commits viewable in compare view

Updates transformers from 4.45.2 to 4.53.0

Release notes

Sourced from transformers's releases.

Release v4.53.0

Gemma3n

Gemma 3n models are designed for efficient execution on low-resource devices. They are capable of multimodal input, handling text, image, video, and audio input, and generating text outputs, with open weights for pre-trained and instruction-tuned variants. These models were trained with data in over 140 spoken languages.

Gemma 3n models use selective parameter activation technology to reduce resource requirements. This technique allows the models to operate at an effective size of 2B and 4B parameters, which is lower than the total number of parameters they contain. For more information on Gemma 3n's efficient parameter management technology, see the Gemma 3n page.

image

from transformers import pipeline
import torch
pipe = pipeline(
"image-text-to-text",
torch_dtype=torch.bfloat16,
model="google/gemma-3n-e4b",
device="cuda",
)
output = pipe(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg",
text="<image_soft_token> in this image, there is"
)
print(output)

Dia

image

Dia is an opensource text-to-speech (TTS) model (1.6B parameters) developed by Nari Labs. It can generate highly realistic dialogue from transcript including nonverbal communications such as laughter and coughing. Furthermore, emotion and tone control is also possible via audio conditioning (voice cloning).

Model Architecture: Dia is an encoder-decoder transformer based on the original transformer architecture. However, some more modern features such as rotational positional embeddings (RoPE) are also included. For its text portion (encoder), a byte tokenizer is utilized while for the audio portion (decoder), a pretrained codec model DAC is used - DAC encodes speech into discrete codebook tokens and decodes them back into audio.

Kyutai Speech-to-Text

Kyutai STT is a speech-to-text model architecture based on the Mimi codec, which encodes audio into discrete tokens in a streaming fashion, and a Moshi-like autoregressive decoder. Kyutai’s lab has released two model checkpoints:

... (truncated)

Commits

Updates sentencepiece from 0.2.0 to 0.2.1

Release notes

Sourced from sentencepiece's releases.

v0.2.1

Major changes

New features

  • [ALL]: Added new build mode to prevent the precompiled normalization rules being embedded in *.so and *.a. (-DSPM_DISABLE_EMBEDDED_DATA=ON). This reduces the runtime size by approximately 1-2 MB. This mode is enabled to build python wheels. The rules are loaded as the data package.

Bug fixes & minor changes

  • [ALL]: Security fix to address a heap overflow issue that could occur when using a model containing an invalid precompiled normalization model.
  • [Python]: Deprecates the wheel package for Linux i686.
  • [Python]: Supported wheel for Windows Arm64. #1114
  • [Python]: Fixed the crash issue on batch decoding #1051
  • [ALL]: Updated the Unicode normalization rule with the latest ICU/Unicode rules.
  • [ALL]: Unused code and build mode cleanup.

v0.2.1pre2

Major changes

New features

  • [ALL]: Added new build mode to prevent the precompiled normalization rules being embedded in *.so and *.a. (-DSPM_DISABLE_EMBEDDED_DATA=ON). This reduces the runtime size by approximately 1-2 MB. This mode is enabled to build python wheels. The rules are loaded as the data package.

Bug fixes & minor changes

  • [ALL]: Security fix to address a heap overflow issue that could occur when using a model containing an invalid precompiled normalization model.
  • [Python]: Deprecates the wheel package for Linux i686.
  • [Python]: Supported wheel for Windows Arm64.
  • [Python]: Fixed the crash issue on batch decoding #1051
  • [ALL]: Updated the Unicode normalization rule with the latest ICU/Unicode rules.
  • [ALL]: Unused code and build mode cleanup.
Commits
  • 31646a4 Merge pull request #1136 from crusaderky/pytest-run-parallel
  • bcd44b9 free-threading tests
  • 135747f install twine before checking wheel
  • 69fe0b2 install setuptools before making sdist
  • ee1422b install setuptools before making sdist
  • 5ac2fd2 use windows-11-arm runner to test ARM64 wheel on native env.
  • 36b9745 use windows-11-arm runner to test ARM64 wheel on native env.
  • 4f043ae use auto-mode to make wheel with the native binary.
  • 623196e uses arm docker image to build and test wheel
  • 559fd65 re-enable QEMU to enable arm execution
  • Additional commits viewable in compare view

Updates vllm from 0.6.3 to 0.14.0

Release notes

Sourced from vllm's releases.

v0.14.0

Highlights

This release features approximately 660 commits from 251 contributors (86 new contributors).

Breaking Changes:

  • Async scheduling is now enabled by default - Users who experience issues can disable with --no-async-scheduling.
    • Excludes some not-yet-supported configurations: pipeline parallel, CPU backend, non-MTP/Eagle spec decoding.
  • PyTorch 2.9.1 is now required and the default wheel is compiled against cu129.
  • Deprecated quantization schemes have been removed (#31688, #31285).
  • When using speculative decoding, unsupported sampling parameters will fail rather than being silently ignored (#31982).

Key Improvements:

  • Async scheduling enabled by default (#27614): Overlaps engine core scheduling with GPU execution, improving throughput without user configuration. Now also works with speculative decoding (#31998) and structured outputs (#29821).
  • gRPC server entrypoint (#30190): Alternative to REST API with binary protocol, HTTP/2 multiplexing.
  • --max-model-len auto (#29431): Automatically fits context length to available GPU memory, eliminating OOM startup failures.
  • Model inspection view (#29450): View the modules, attention backends, and quantization of your model in vLLM by specifying VLLM_LOG_MODEL_INSPECTION=1 or by simply printing the LLM object.
  • Model Runner V2 enhancements: UVA block tables (#31965), M-RoPE (#32143), logit_bias/allowed_token_ids/min_tokens support (#32163).
    • Please note that Model Runner V2 is still experimental and disabled by default.

Model Support

New Model Architectures:

LoRA Support Expansion:

Model Enhancements:

  • Qwen3-VL as reranker (#31890)
  • DeepSeek v3.2 chat prefix completion (#31147)
  • GLM-4.5/GLM-4.7 enable_thinking: false (#31788)
  • Ernie4.5-VL video timestamps (#31274)
  • Score template expansion (#31335)
  • LLaMa4 vision encoder compilation (#30709)
  • NemotronH quantized attention (#31898)

Engine Core

... (truncated)

Commits
  • b17039b [CI] Implement uploading to PyPI and GitHub in the release pipeline, enable r...
  • 48b67ba [Frontend] Standardize use of create_error_response (#32319)
  • 09f4264 [Bugfix] Fix ROCm dockerfiles (#32447)
  • 7f42dc2 [CI] Fix LM Eval Large Models (H100) (#32423)
  • c2a37a3 Cherry pick [ROCm] [CI] [Release] Rocm wheel pipeline with sccache #32264
  • 0e31fc7 [UX] Use kv_offloading_backend=native by default (#32421)
  • 6ac0fcf [ROCm][Bugfix] Disable hip sampler to fix deepseek's accuracy issue on ROCm (...
  • b622497 [ROCM] Add ROCm image build to release pipeline (#31995)
  • 1b57275 [Bugfix][ROCm][performance] Resolve the performance regression issue of the Q...
  • 2c24bc6 [BugFix] [KVConnector] Fix KV events for LMCache connector (#32169)
  • Additional commits viewable in compare view

Updates torch from 2.5.0 to 2.8.0

Release notes

Sourced from torch's releases.

PyTorch 2.8.0 Release Notes

Highlights

... (truncated)

Commits
  • ba56102 Cherrypick: Add the RunLLM widget to the website (#159592)
  • c525a02 [dynamo, docs] cherry pick torch.compile programming model docs into 2.8 (#15...
  • a1cb3cc [Release Only] Remove nvshmem from list of preload libraries (#158925)
  • c76b235 Move out super large one off foreach_copy test (#158880)
  • 20a0e22 Revert "[Dynamo] Allow inlining into AO quantization modules (#152934)" (#158...
  • 9167ac8 [MPS] Switch Cholesky decomp to column wise (#158237)
  • 5534685 [MPS] Reimplement tri[ul] as Metal shaders (#158867)
  • d19e08d Cherry pick PR 158746 (#158801)
  • a6c044a [cherry-pick] Unify torch.tensor and torch.ops.aten.scalar_tensor behavior (#...
  • 620ebd0 [Dynamo] Use proper sources for constructing dataclass defaults (#158689)
  • Additional commits viewable in compare view

Updates urllib3 from 1.26.6 to 2.6.3

Release notes

Sourced from urllib3's releases.

2.6.3

🚀 urllib3 is fundraising for HTTP/2 support

urllib3 is raising ~$40,000 USD to release HTTP/2 support and ensure long-term sustainable maintenance of the project after a sharp decline in financial support. If your company or organization uses Python and would benefit from HTTP/2 support in Requests, pip, cloud SDKs, and thousands of other projects please consider contributing financially to ensure HTTP/2 support is developed sustainably and maintained for the long-haul.

Thank you for your support.

Changes

2.6.2

🚀 urllib3 is fundraising for HTTP/2 support

urllib3 is raising ~$40,000 USD to release HTTP/2 support and ensure long-term sustainable maintenance of the project after a sharp decline in financial support. If your company or organization uses Python and would benefit from HTTP/2 support in Requests, pip, cloud SDKs, and thousands of other projects please consider contributing financially to ensure HTTP/2 support is developed sustainably and maintained for the long-haul.

Thank you for your support.

Changes

  • Fixed HTTPResponse.read_chunked() to properly handle leftover data in the decoder's buffer when reading compressed chunked responses. (urllib3/urllib3#3734)

2.6.1

🚀 urllib3 is fundraising for HTTP/2 support

urllib3 is raising ~$40,000 USD to release HTTP/2 support and ensure long-term sustainable maintenance of the project after a sharp decline in financial support. If your company or organization uses Python and would benefit from HTTP/2 support in Requests, pip, cloud SDKs, and thousands of other projects please consider contributing financially to ensure HTTP/2 support is developed sustainably and maintained for the long-haul.

Thank you for your support.

Changes

  • Restore previously removed HTTPResponse.getheaders() and HTTPResponse.getheader() methods. (#3731)

2.6.0

🚀 urllib3 is fundraising for HTTP/2 support

urllib3 is raising ~$40,000 USD to release HTTP/2 support and ensure long-term sustainable maintenance of the project after a sharp decline in financial support. If your company or organization uses Python and would benefit from HTTP/2 support in Requests, pip, cloud SDKs, and thousands of other projects please consider contributing financially to ensure HTTP/2 support is developed sustainably and maintained for the long-haul.

Thank you for your support.

Security

  • Fixed a security issue where streaming API could improperly handle highly compressed HTTP content ("decompression bombs") leading to excessive resource consumption even when a small amount of data was requested. Reading small chunks of compressed data is safer and much more efficient now. (CVE-2025-66471 reported by @​Cycloctane, 8.9 High, GHSA-2xpw-w6gg-jr37)
  • Fixed a security issue where an attacker could compose an HTTP response with virtually unlimited links in the Content-Encoding header, potentially leading to a denial of service (DoS) attack by exhausting system resources during decoding. The number of allowed chained encodings is now limited to 5. (CVE-2025-66418 reported by @​illia-v, 8.9 High, GHSA-gm62-xv2j-4w53)

[!IMPORTANT]

  • If urllib3 is not installed with the optional urllib3[brotli] extra, but your environment contains a Brotli/brotlicffi/brotlipy package anyway, make sure to upgrade it to at least Brotli 1.2.0 or brotlicffi 1.2.0.0 to benefit from the security fixes and avoid warnings. Prefer using urllib3[brotli] to install a compatible Brotli package automatically.

... (truncated)

Changelog

Sourced from urllib3's changelog.

2.6.3 (2026-01-07)

  • Fixed a high-severity security issue where decompression-bomb safeguards of the streaming API were bypassed when HTTP redirects were followed. (GHSA-38jv-5279-wg99 <https://github.com/urllib3/urllib3/security/advisories/GHSA-38jv-5279-wg99>__)
  • Started treating Retry-After times greater than 6 hours as 6 hours by default. ([#3743](https://github.com/urllib3/urllib3/issues/3743) <https://github.com/urllib3/urllib3/issues/3743>__)
  • Fixed urllib3.connection.VerifiedHTTPSConnection on Emscripten. ([#3752](https://github.com/urllib3/urllib3/issues/3752) <https://github.com/urllib3/urllib3/issues/3752>__)

2.6.2 (2025-12-11)

  • Fixed HTTPResponse.read_chunked() to properly handle leftover data in the decoder's buffer when reading compressed chunked responses. ([#3734](https://github.com/urllib3/urllib3/issues/3734) <https://github.com/urllib3/urllib3/issues/3734>__)

2.6.1 (2025-12-08)

  • Restore previously removed HTTPResponse.getheaders() and HTTPResponse.getheader() methods. ([#3731](https://github.com/urllib3/urllib3/issues/3731) <https://github.com/urllib3/urllib3/issues/3731>__)

2.6.0 (2025-12-05)

Security

  • Fixed a security issue where streaming API could improperly handle highly compressed HTTP content ("decompression bombs") leading to excessive resource consumption even when a small amount of data was requested. Reading small chunks of compressed data is safer and much more efficient now. (GHSA-2xpw-w6gg-jr37 <https://github.com/urllib3/urllib3/security/advisories/GHSA-2xpw-w6gg-jr37>__)
  • Fixed a security issue where an attacker could compose an HTTP response with virtually unlimited links in the Content-Encoding header, potentially leading to a denial of service (DoS) attack by exhausting system resources during decoding. The number of allowed chained encodings is now limited to 5. (GHSA-gm62-xv2j-4w53 <https://github.com/urllib3/urllib3/security/advisories/GHSA-gm62-xv2j-4w53>__)

.. caution::

  • If urllib3 is not installed with the optional urllib3[brotli] extra, but your environment contains a Brotli/brotlicffi/brotlipy package anyway, make sure to upgrade it to at least Brotli 1.2.0 or brotlicffi 1.2.0.0 to benefit from the security fixes and avoid warnings. Prefer using

... (truncated)

Commits
  • 0248277 Release 2.6.3
  • 8864ac4 Merge commit from fork
  • 70cecb2 Fix Scorecard issues related to vulnerable dev dependencies (#3755)
  • 41f249a Move "v2.0 Migration Guide" to the end of the table of contents (#3747)
  • fd4dffd Patch VerifiedHTTPSConnection for Emscripten (#3752)
  • 13f0bfd Handle massive values in Retry-After when calculating time to sleep for (#3743)
  • 8c480bf Bump actions/upload-artifact from 5.0.0 to 6.0.0 (#3748)
  • 4b40616 Bump actions/cache from 4.3.0 to 5.0.1 (#3750)
  • 82b8479 Bump actions/download-artifact from 6.0.0 to 7.0.0 (#3749)
  • 34284cb Mention experimental features in the security policy (#3746)
  • Additional commits viewable in compare view

Updates urllib3 from 1.26.6 to 2.6.3

Release notes

Sourced from urllib3's releases.

2.6.3

🚀 urllib3 is fundraising for HTTP/2 support

urllib3 is raising ~$40,000 USD to release HTTP/2 support and ensure long-term sustainable maintenance of the project after a sharp decline in financial support. If your company or organization uses Python and would benefit from HTTP/2 support in Requests, pip, cloud SDKs, and thousands of other projects please consider contributing financially to ensure HTTP/2 support is developed sustainably and maintained for the long-haul.

Thank you for your support.

Changes

2.6.2

🚀 urllib3 is fundraising for HTTP/2 support

urllib3 is raising ~$40,000 USD to release HTTP/2 support and ensure long-term sustainable maintenance of the project after a sharp decline in financial support. If your company or organization uses Python and would benefit from HTTP/2 support in Requests, pip, cloud SDKs, and thousands of other projects please consider contributing financially to ensure HTTP/2 support is developed sustainably and maintained for the long-haul.

Thank you for your support.

Changes

  • Fixed HTTPResponse.read_chunked() to properly handle leftover data in the decoder's buffer when reading compressed chunked responses. (urllib3/urllib3#3734)

2.6.1

🚀 urllib3 is fundraising for HTTP/2 support

urllib3 is raising ~$40,000 USD to release HTTP/2 support and ensure long-term sustainable maintenance of the project after a sharp decline in financial support. If your company or organization uses Python and would benefit from HTTP/2 support in Requests, pip, cloud SDKs, and thousands of other projects please consider contributing financially to ensure HTTP/2 support is developed sustainably and maintained for the long-haul.

Thank you for your support.

Changes

  • Restore previously removed HTTPResponse.getheaders() and HTTPResponse.getheader() methods. (#3731)

2.6.0

🚀 urllib3 is fundraising for HTTP/2 support

urllib3 is raising ~$40,000 USD to release HTTP/2 support and ensure long-term sustainable maintenance of the project after a sharp decline in financial support. If your company or organization uses Python and would benefit from HTTP/2 support in Requests, pip, cloud SDKs, and thousands of other projects please consider contributing financially to ensure HTTP/2 support is developed sustainably and maintained for the long-haul.

Thank you for your support.

Security

  • Fixed a security issue where streaming API could improperly handle highly compressed HTTP content ("decompression bombs") leading to excessive resource consumption even when a small amount of data was requested. Reading small chunks of compressed data is safer and much more efficient now. (CVE-2025-66471 reported by @​Cycloctane, 8.9 High, GHSA-2xpw-w6gg-jr37)
  • Fixed a security issue where an attacker could compose an HTTP response with virtually unlimited links in the Content-Encoding header, potentially leading to a denial of service (DoS) attack by exhausting system resources during decoding. The number of allowed chained encodings is now limited to 5. (CVE-2025-66418 reported by @​illia-v, 8.9 High, GHSA-gm62-xv2j-4w53)

[!IMPORTANT]

  • If urllib3 is not installed with the optional urllib3[brotli] extra, but your environment contains a Brotli/brotlicffi/brotlipy package anyway, make sure to upgrade it to at least Brotli 1.2.0 or brotlicffi 1.2.0.0 to benefit from the security fixes and avoid warnings. Prefer using urllib3[brotli] to install a compatible Brotli package automatically.

... (truncated)

Changelog

Sourced from urllib3's changelog.

2.6.3 (2026-01-07)

  • Fixed a high-severity security issue where decompression-bomb safeguards of the streaming API were bypassed when HTTP redirects were followed. (GHSA-38jv-5279-wg99 <https://github.com/urllib3/urllib3/security/advisories/GHSA-38jv-5279-wg99>__)
  • Started treating Retry-After times greater than 6 hours as 6 hours by default. ([#3743](https://github.com/urllib3/urllib3/issues/3743) <https://github.com/urllib3/urllib3/issues/3743>__)
  • Fixed urllib3.connection.VerifiedHTTPSConnection on Emscripten. ([#3752](https://github.com/urllib3/urllib3/issues/3752) <https://github.com/urllib3/urllib3/issues/3752>__)

2.6.2 (2025-12-11)

  • Fixed HTTPResponse.read_chunked() to properly handle leftover data in the decoder's buffer when reading compressed chunked responses. ([#3734](https://github.com/urllib3/urllib3/issues/3734) <https://github.com/urllib3/urllib3/issues/3734>__)

2.6.1 (2025-12-08)

  • Restore previously removed HTTPResponse.getheaders() and HTTPResponse.getheader() methods. ([#3731](https://github.com/urllib3/urllib3/issues/3731) <https://github.com/urllib3/urllib3/issues/3731>__)

2.6.0 (2025-12-05)

Security

  • Fixed a security issue where streaming API could improperly handle highly compressed HTTP content ("decompression bombs") leading to excessive resource consumption even when a small amount of data was requested. Reading small chunks of compressed data is safer and much more efficient now. (GHSA-2xpw-w6gg-jr37 <https://github.com/urllib3/urllib3/security/advisories/GHSA-2xpw-w6gg-jr37>__)
  • Fixed a security issue where an attacker could compose an HTTP response with virtually unlimited links in the Content-Encoding header, potentially leading to a denial of service (DoS) attack by exhausting system resources during decoding. The number of allowed chained encodings is now limited to 5. (GHSA-gm62-xv2j-4w53 <https://github.com/urllib3/urllib3/security/advisories/GHSA-gm62-xv2j-4w53>__)

.. caution::

  • If urllib3 is not installed with the optional urllib3[brotli] extra, but your environment contains a Brotli/brotlicffi/brotlipy package anyway, make sure to upgrade it to at least Brotli 1.2.0 or brotlicffi 1.2.0.0 to benefit from the security fixes and avoid warnings. Prefer using

... (truncated)

Commits
  • 0248277 Release 2.6.3
  • 8864ac4 Merge commit from fork
  • 70cecb2 Fix Scorecard issues related to vulnerable dev dependencies (#3755)
  • 41f249a Move "v2.0 Migration Guide" to the end of the table of contents (#3747)
  • fd4dffd Patch VerifiedHTTPSConnection for Emscripten (#3752)
  • 13f0bfd Handle massive values in Retry-After when calculating time to sleep for (#3743)
  • 8c480bf Bump actions/upload-artifact from 5.0.0 to 6.0.0 (#3748)
  • 4b40616 Bump actions/cache from 4.3.0 to 5.0.1 (#3750)
  • 82b8479 Bump actions/download-artifact from 6.0.0 to 7.0.0 (#3749)
  • 34284cb Mention experimental features in the security policy (#3746)
  • Additional commits viewable in compare view

Updates requests from 2.32.3 to 2.32.4

Release notes

Sourced from requests's releases.

v2.32.4

2.32.4 (2025-06-10)

Security

  • CVE-2024-47081 Fixed an issue where a maliciously crafted URL and trusted environment will retrieve credentials for the wrong hostname/machine from a netrc file. (#6965)

Improvements

  • Numerous documentation improvements

Deprecations

  • Added support for pypy 3.11 for Linux and macOS. (#6926)
  • Dropped support for pypy 3.9 following its end of support. (#6926)
Changelog

Sourced from requests's changelog.

2.32.4 (2025-06-10)

Security

  • CVE-2024-47081 Fixed an issue where a maliciously crafted URL and trusted environment will retrieve credentials for the wrong hostname/machine from a netrc file.

Improvements

  • Numerous documentation improvements

Deprecations

  • Added support for pypy 3.11 for Linux and macOS.
  • Dropped support for pypy 3.9 following its end of support.
Commits
  • 021dc72 Polish up release tooling for last manual release
  • 821770e Bump version and add release notes for v2.32.4
  • 59f8aa2 Add netrc file search information to authentication documentation (#6876)
  • 5b4b64c Add more tests to prevent regression of CVE 2024 47081
  • 7bc4587 Add new test to check netrc auth leak (#6962)
  • 96ba401 Only use hostname to do netrc lookup instead of netloc
  • 7341690 Merge pull request #6951 from tswast/patch-1
  • 6716d7c remove links
  • a7e1c74 Update docs/conf.py
  • c799b81 docs: fix dead links to kenreitz.org
  • Additional commits viewable in compare view

Updates transformers from 4.45.2 to 4.53.0

Release notes

Sourced from transformers's releases.

Release v4.53.0

Gemma3n

Gemma 3n models are designed for efficient execution on low-resource devices. They are capable of multimodal input, handling text, image, video, and audio input, and generating text outputs, with open weights for pre-trained and instruction-tuned variants. These models were trained with data in over 140 spoken languages.

Gemma 3n models use selective parameter activation technology to reduce resource requirements. This technique allows the models to operate at an effective size of 2B and 4B parameters, which is lower than the total number of parameters they contain. For more information on Gemma 3n's efficient parameter management technology, see the Gemma 3n page.

image

from transformers import pipeline
import torch
pipe = pipeline(
"image-text-to-text",
torch_dtype=torch.bfloat16,
model="google/gemma-3n-e4b",
device="cuda",
)
output = pipe(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg",
text="<image_soft_token> in this image, there is"
)
print(output)

Dia

image

Dia is an opensource text-to-speech (TTS) model (1.6B parameters) developed by Nari Labs. It can generate highly realistic dialogue from transcript including nonverbal communications such as laughter and coughing. Furthermore, emotion and tone control is also possible via audio conditioning (voice cloning).

Model Architecture: Dia is an encoder-decoder transformer based on the original transformer architecture. However, some more modern features such as rotational positional embeddings (RoPE) are also included. For its text portion (encoder), a byte tokenizer is utilized while for the audio portion (decoder), a pretrained codec model DAC is used - DAC encodes speech into discrete codebook tokens and decodes them back into audio.

Kyutai Speech-to-Text

Kyutai STT is a speech-to-text model architecture based on the Mimi codec, which encodes audio into discrete tokens in a streaming fashion, and a Moshi-like autoregressive decoder. Kyutai’s lab has released two model checkpoints:

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Commits

Updates sentencepiece from 0.2.0 to 0.2.1

Release notes

Sourced from sentencepiece's releases.

v0.2.1

Major changes

New features

  • [ALL]: Added new build mode to prevent the precompiled normalization rules being embedded in *.so and *.a. (-DSPM_DISABLE_EMBEDDED_DATA=ON). This reduces the runtime size by approximately 1-2 MB. This mode is enabled to build python wheels. The rules are loaded as the data package.

Bug fixes & minor changes

  • [ALL]: Security fix to address a heap overflow issue that could occur when using a model containing an invalid precompiled normalization model.
  • [Python]: Deprecates the wheel package for Linux i686.
  • [Python]: Supported wheel for Windows Arm64. #1114
  • [Python]: Fixed the crash issue on batch decoding #1051
  • [ALL]: Updated the Unicode normalization rule with the latest ICU/Unicode rules.
  • [ALL]: Unused code and build mode cleanup.

v0.2.1pre2

Major changes

  • [Python] Supported wheels and builds for Python 3.13 and 3.14(rc0)
  • [Python] Added an experimental support for free-threading.

@dependabot
Bump the pip group across 3 directories with 6 updates
e5d0904 
Bumps the pip group with 6 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [requests](https://github.com/psf/requests) | `2.32.3` | `2.32.4` |
| [transformers](https://github.com/huggingface/transformers) | `4.45.2` | `4.53.0` |
| [sentencepiece](https://github.com/google/sentencepiece) | `0.2.0` | `0.2.1` |
| [vllm](https://github.com/vllm-project/vllm) | `0.6.3` | `0.14.0` |
| [torch](https://github.com/pytorch/pytorch) | `2.5.0` | `2.8.0` |
| [urllib3](https://github.com/urllib3/urllib3) | `1.26.6` | `2.6.3` |

Bumps the pip group with 1 update in the /docs directory: [urllib3](https://github.com/urllib3/urllib3).
Bumps the pip group with 4 updates in the /rankify directory: [requests](https://github.com/psf/requests), [transformers](https://github.com/huggingface/transformers), [sentencepiece](https://github.com/google/sentencepiece) and [torch](https://github.com/pytorch/pytorch).


Updates `requests` from 2.32.3 to 2.32.4
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.32.3...v2.32.4)

Updates `transformers` from 4.45.2 to 4.53.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.45.2...v4.53.0)

Updates `sentencepiece` from 0.2.0 to 0.2.1
- [Release notes](https://github.com/google/sentencepiece/releases)
- [Commits](google/sentencepiece@v0.2.0...v0.2.1)

Updates `vllm` from 0.6.3 to 0.14.0
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](vllm-project/vllm@v0.6.3...v0.14.0)

Updates `torch` from 2.5.0 to 2.8.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.5.0...v2.8.0)

Updates `urllib3` from 1.26.6 to 2.6.3
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.6...2.6.3)

Updates `urllib3` from 1.26.6 to 2.6.3
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](urllib3/urllib3@1.26.6...2.6.3)

Updates `requests` from 2.32.3 to 2.32.4
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.32.3...v2.32.4)

Updates `transformers` from 4.45.2 to 4.53.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.45.2...v4.53.0)

Updates `sentencepiece` from 0.2.0 to 0.2.1
- [Release notes](https://github.com/google/sentencepiece/releases)
- [Commits](google/sentencepiece@v0.2.0...v0.2.1)

Updates `torch` from 2.5.0 to 2.8.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.5.0...v2.8.0)

---
updated-dependencies:
- dependency-name: requests
  dependency-version: 2.32.4
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 4.53.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: sentencepiece
  dependency-version: 0.2.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: vllm
  dependency-version: 0.14.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.8.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.6.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: urllib3
  dependency-version: 2.6.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: requests
  dependency-version: 2.32.4
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 4.53.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: sentencepiece
  dependency-version: 0.2.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.8.0
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jan 22, 2026
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