Skip to content

deps: bump the runtime group across 1 directory with 10 updates - #37

Closed
dependabot[bot] wants to merge 1 commit into
mainfrom
dependabot/uv/runtime-461d9f51e3
Closed

deps: bump the runtime group across 1 directory with 10 updates#37
dependabot[bot] wants to merge 1 commit into
mainfrom
dependabot/uv/runtime-461d9f51e3

Conversation

@dependabot

@dependabot dependabot Bot commented on behalf of github Aug 23, 2026 •
edited
Loading

Copy link
Copy Markdown

Bumps the runtime group with 10 updates in the / directory:

Package From To
typer 0.26.8 0.27.1
torch 2.12.1 2.13.0
transformers 5.13.0 5.15.1
datasets 5.0.0 5.0.1
huggingface-hub 1.22.0 1.28.0
av 18.0.0 18.1.0
pypdf 5.9.0 6.16.1
langchain-text-splitters 0.3.11 1.1.2
sentence-transformers 5.7.0 6.0.0
gradio 6.20.0 6.25.0

Updates typer from 0.26.8 to 0.27.1

Release notes

Sourced from typer's releases.

0.27.1

Features

  • ✨ Make epilog formatting consistent with other parts of the help string. PR #1405 by @​svlandeg.

Docs

Internal

0.27.0

Breaking Changes

Internal

Changelog

Sourced from typer's changelog.

0.27.1 (2026-08-03)

Features

  • ✨ Make epilog formatting consistent with other parts of the help string. PR #1405 by @​svlandeg.

Docs

Internal

0.27.0 (2026-07-15)

Breaking Changes

Internal

Commits
  • fe2aa0e 🔖 Release version 0.27.1 (#1919)
  • 680dc99 📝 Update release notes
  • ac3efd5 ✨ Make epilog formatting consistent with other parts of the help string (#1...
  • 32d80ef 📝 Update release notes
  • 10cb3c9 ⬆️ Upgrade latest-changes to 0.7.1 (#1909)
  • ac329a0 📝 Update release notes
  • c37ae2f 📝 Add Library Skills documentation (#1906)
  • 0974a7e 📝 Update release notes
  • 951178c 🐛 Prevent scroll-to-top on restart/fast buttons in the documentation (#1904)
  • 9051baa 📝 Update release notes
  • Additional commits viewable in compare view

Updates torch from 2.12.1 to 2.13.0

Release notes

Sourced from torch's releases.

PyTorch 2.13.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Tracked Regressions

ROCm wheels break torch.compile on CPU in environments without a GPU

Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.

Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.

Backwards Incompatible Changes

  • Stop building CPython 3.13t (free-threaded) binaries (#182951)

    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result, PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the free-threaded interpreter should move to Python 3.14t.

    PyTorch 2.12:

    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch

    PyTorch 2.13:

... (truncated)

Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Updates transformers from 5.13.0 to 5.15.1

Release notes

Sourced from transformers's releases.

Patch release: v5.15.1

Patch release v5.15.1

This patch most notably solves a few issues with DFlash and MTP candidate generators, as well as an issue where images could sometimes not be processed on accelerator if using Lanczos filter.

It contains the following commits:

Release: v5.15.0

Release v5.15.0

New Model additions

Meta Muse Glimmer

Muse Glimmer, released today, is Meta’s new multimodal model, especially designed for agentic use cases. Distilled from Muse to 30B parameters, and released under the Apache 2.0 license, it can be deployed to local setups for privacy-aware applications such as coding, document analysis, personal assistants, Claw- or Hermes-like setups.

Muse Glimmer is a dense 30B parameter model consisting of:

  • 2B ViT-style encoder for vision (Perception Encoder)
  • 28B parameter text decoder

We're covering it in the following blogpost: http://hf.co/blog/muse-glimmer

GraniteMoeSWA & GraniteSWA

Links: Documentation

Links: Documentation

A.X-K1 & A.X-K2

Links: Documentation

... (truncated)

Commits
  • 550d7b3 Release: v5.15.1
  • 7e9f99c Fix MTP config when mlp_layer_types is absent (#48015)
  • 6e336fd Fix gemma4 video to device (#47896)
  • c79e26a Fallback from 'lanczos' to 'bicubic' when on cuda (#48026)
  • d93f042 Align logit distributions for CandidateGenerators using sampling (#48007)
  • 69bc61d Fix DFlash candidate token device mismatch with device_map="auto" (#47877)
  • 5eddc12 Release: v5.15.0
  • 7bfaf47 Add MuseGlimmer (#47867)
  • 4bd3150 Revert "Fix CodeLlama tokenizer dropping leading whitespace on decode (#47488...
  • fd12552 Fix cached_files silently returning stale file on read-only filesystem (EROFS...
  • Additional commits viewable in compare view

Updates datasets from 5.0.0 to 5.0.1

Release notes

Sourced from datasets's releases.

5.0.1

Bug fixes

Docs

New Contributors

... (truncated)

Commits
  • 921c2a7 release: 5.0.1 (#8370)
  • c6fc5cd Preserve nullable integer columns in to_json/to_csv/to_sql (#8366)
  • 6747b87 Fix DatasetDict.push_to_hub leaving removed splits in the dataset card (#8367)
  • b305031 fix buckets on windows (#8369)
  • 030a3e5 Decode Json() columns in Dataset.to_pandas() (#8344)
  • 0f207a0 Rebatch arrow source before formatting in IterableDataset.filter to fix resum...
  • adad35d Keep integers on the python read path for fixed-shape ArrayXD columns with nu...
  • 8966746 Fix CSV loader dropping on_bad_lines/encoding_errors on pandas 2.0-2.2 (#8358)
  • b8e861a Fix bucket dataset card handling and push metadata accounting (#8354)
  • 521a590 Keep flat numeric columns with nulls numeric in numpy format (#8352)
  • Additional commits viewable in compare view

Updates huggingface-hub from 1.22.0 to 1.28.0

Release notes

Sourced from huggingface-hub's releases.

[v1.28.0] Hardware discovery and managed engine images for Inference Endpoints and more

🔎 Discover deployable hardware with hf endpoints hardware

Deploying an Inference Endpoint requires five hardware flags (--vendor, --region, --accelerator, --instance-type, --instance-size) whose valid values depend on each other, and until now there was no way to learn them from the CLI. The new hf endpoints hardware command lists the valid combinations along with the price per replica per hour and your namespace's accelerator quota, filtered by default to the hardware you can deploy on right now. The same data is available in the SDK via list_inference_endpoints_hardware(), which flattens the API response into InferenceEndpointHardware objects you can filter programmatically.

>>> hf endpoints hardware --vendor aws --region eu-west-1
VENDOR REGION    ACCELERATOR INSTANCE_TYPE INSTANCE_SIZE MEMORY_GB GPU_MEMORY_GB PRICE_PER_HOUR QUOTA STATUS
------ --------- ----------- ------------- ------------- --------- ------------- -------------- ----- ---------
aws    eu-west-1 cpu         intel-spr     x1                  2.0                        0.033 0/60  available
aws    eu-west-1 cpu         intel-spr     x2                  4.0                        0.067 0/60  available
aws    eu-west-1 gpu         nvidia-a10g   x1                 30.0            24            1.0 0/16  available
aws    eu-west-1 gpu         nvidia-t4     x1                 15.0            16            0.5 1/30  available

🚀 Managed engine images and multi-accelerator parallelism for Inference Endpoints

custom_image now accepts the engine-specific container types supported by the API: key the dictionary with the engine name (vLLM, sGLang, tgi, tei, llamacpp, hfServe, ...) instead of leaving it flat, and each engine takes the usual container fields plus its own tuning options. Any dict without a top-level url is forwarded to the API untouched, so engines added to the API later will work without upgrading huggingface_hub, and update_inference_endpoint now handles the same payload shapes as create_inference_endpoint. On the CLI, hf endpoints deploy and hf endpoints update gain --engine, --tensor-parallel-size and --data-parallel-size, and update also accepts --custom-image, --health-route and --port. This matters because vLLM and SGLang default to a single accelerator while an endpoint is allocated every accelerator of its instance — the API now rejects that misconfiguration, and these flags are how you set things right.

$ hf endpoints deploy gpt-oss-120b-vllm --repo openai/gpt-oss-120b --framework custom \
    --accelerator gpu --instance-size x8 --instance-type nvidia-h200 --region us-east-1 --vendor aws \
    --engine vllm --custom-image vllm/vllm-openai:v0.23.0 --tensor-parallel-size 8
Retune a running endpoint
$ hf endpoints update gpt-oss-120b-vllm --tensor-parallel-size 4 --data-parallel-size 2

💔 Breaking change: huggingface_hub.constants.INFERENCE_ENDPOINT_IMAGE_KEYS is removed. It was never exported at the package root nor documented, but code reading it directly will now get an AttributeError.

  • [Inference Endpoints] Support managed engine images in custom_image by @​hanouticelina in #4671
  • [CLI] Add --tensor-parallel-size / --data-parallel-size to hf endpoints deploy and update by @​moon-bot-app[bot] in #4661

🤖 Inference

  • [Inference Providers] deepinfra: add text-to-speech support by @​ovuruska in #4559
  • [Inference Providers] deepinfra: add feature-extraction support by @​ovuruska in #4656

🖥️ CLI

🐛 Bug and typo fixes

... (truncated)

Commits
  • b2da2d4 Release: v1.28.0
  • a718e44 Release: v1.28.0.rc0
  • 7105c3d [CLI] Add --tensor-parallel-size / --data-parallel-size to `hf endpoints depl...
  • a3d9d8a [Inference Endpoints] Omit model.task instead of sending null on create (#4...
  • 909b162 [Inference Endpoints] Add hf endpoints hardware to list available instances...
  • 5ac9711 Do not use a redirect's Content-Length as file size in get_hf_file_metadata (...
  • 99aba55 [Docs] Normalize malformed docstring parameter entries (#4623)
  • 2e6c67d [Inference Providers] deepinfra: add feature-extraction (embeddings) support ...
  • 7a522f0 docs: remove obsolete Repository guide references (#4679)
  • aa40a65 [Download] Fix ResolvedRevision string value after pickle/copy (#4692)
  • Additional commits viewable in compare view

Updates av from 18.0.0 to 18.1.0

Release notes

Sourced from av's releases.

v18.1.0

Features

  • Infer the specific stream and codec context types for all FFmpeg encoder names in type-checked code by @​WyattBlue.
  • Add CodecContext.supported_options to discover generic and codec-specific options by @​WyattBlue (#2032).
  • Add Packet.rescale_ts() to rescale packet PTS, DTS, and duration to a new AVRational time base by @​WyattBlue.
  • Support reusing the thread's current CUDA context via a current_ctx flag on CudaContext and VideoFrame.from_dlpack, for interop with libraries like PyTorch that initialize CUDA first by @​Yozer (#2339).
  • VideoFrame.from_dlpack no longer requires restating primary_ctx/current_ctx when passing an explicit cuda_context; the flags are only validated when explicitly given by @​WyattBlue.
  • Support passing an explicit CUDA stream to FFmpeg CUDA operations, including NVENC input and output, via a cuda_stream parameter on CudaContext; currently limited to logical CUDA device 0 by @​Yozer (#2360).
  • Add av.AVRational, an exact rational number stored as two int32s that mirrors FFmpeg's AVRational. Codec.frame_rates now holds these rather than fractions.Fraction, and every setter that accepts a Fraction also accepts an AVRational. Unset rational attributes are falsy, so test them with if not stream.time_base: rather than is None by @​WyattBlue.
  • Add Frame.metadata, the metadata FFmpeg attaches to a frame, by @​WyattBlue.
  • Add CodecContext.level by @​WyattBlue.
  • Add VideoCodecContext.field_order by @​WyattBlue.
  • VideoFrame.save now forwards keyword arguments to the encoder, letting callers trade file size for speed (e.g. pred="none" or compression_level=1 for PNG, qscale=2 for JPG) by @​WyattBlue.
  • Add InputContainer.start_time_realtime, the stream's start time in microseconds since the Unix epoch, which RTSP derives from RTCP sender reports, by @​WyattBlue (#2365).

Fixes

  • Fix VideoFrame.save raising AttributeError when given a Path rather than a str by @​WyattBlue.
  • Fix a frame rate assigned to a VideoStream after add_stream being dropped from the output; the codec context's frame rate is now copied to the stream before the header is written by @​WyattBlue (#2301).
  • Prevent crashes and corrupted output when structural codec properties are changed after an output stream has been opened by @​WyattBlue, reported by @​oakaigh (#2232).
  • Fix a crash when using a stream that has no CodecContext (a demuxed stream with no available decoder, such as one from a truncated file, or a stream created by add_mux_stream); decoding now raises DecoderNotFoundError, encoding now raises EncoderNotFoundError, and BitStreamFilterContext accepts such a stream as out_stream by @​WyattBlue, reported by @​justinrmiller (#2344).

Misc

  • Support building from source against FFmpeg 9.0 by @​WyattBlue. The binary wheels still ship FFmpeg 8.1.2.

New Contributors

Full Changelog: PyAV-Org/PyAV@v18.0.0...v18.1.0

Changelog

Sourced from av's changelog.

v18.1.0

Features:

  • Infer the specific stream and codec context types for all FFmpeg encoder names in type-checked code by :gh-user:WyattBlue.
  • Add CodecContext.supported_options to discover generic and codec-specific options by :gh-user:WyattBlue (:issue:2032).
  • Add Packet.rescale_ts() to rescale packet PTS, DTS, and duration to a new AVRational time base by :gh-user:WyattBlue.
  • Support reusing the thread's current CUDA context via a current_ctx flag on CudaContext and VideoFrame.from_dlpack, for interop with libraries like PyTorch that initialize CUDA first by :gh-user:Yozer (:pr:2339).
  • VideoFrame.from_dlpack no longer requires restating primary_ctx/current_ctx when passing an explicit cuda_context; the flags are only validated when explicitly given by :gh-user:WyattBlue.
  • Support passing an explicit CUDA stream to FFmpeg CUDA operations, including NVENC input and output, via a cuda_stream parameter on CudaContext; currently limited to logical CUDA device 0 by :gh-user:Yozer (:pr:2360).
  • Add av.AVRational, an exact rational number stored as two int32s that mirrors FFmpeg's AVRational. Codec.frame_rates now holds these rather than fractions.Fraction, and every setter that accepts a Fraction also accepts an AVRational. Unset rational attributes are falsy, so test them with if not stream.time_base: rather than is None by :gh-user:WyattBlue.
  • Add Frame.metadata, the metadata FFmpeg attaches to a frame, by :gh-user:WyattBlue.
  • Add CodecContext.level by :gh-user:WyattBlue.
  • Add VideoCodecContext.field_order by :gh-user:WyattBlue.
  • VideoFrame.save now forwards keyword arguments to the encoder, letting callers trade file size for speed (e.g. pred="none" or compression_level=1 for PNG, qscale=2 for JPG) by :gh-user:WyattBlue.
  • Add InputContainer.start_time_realtime, the stream's start time in microseconds since the Unix epoch, which RTSP derives from RTCP sender reports, by :gh-user:WyattBlue (:issue:2365).

Fixes:

  • Fix VideoFrame.save raising AttributeError when given a Path rather than a str by :gh-user:WyattBlue.
  • Fix a frame rate assigned to a VideoStream after add_stream being dropped from the output; the codec context's frame rate is now copied to the stream before the header is written by :gh-user:WyattBlue (:issue:2301).

Misc.:

  • Support building from source against FFmpeg 9.0 by :gh-user:WyattBlue. The binary wheels still ship FFmpeg 8.1.2.

  • Prevent crashes and corrupted output when structural codec properties are changed after an output stream has been opened by :gh-user:WyattBlue, reported by :gh-user:oakaigh (:issue:2232).

  • Fix a crash when using a stream that has no CodecContext (a demuxed stream with no available decoder, such as one from a truncated file, or a stream created by add_mux_stream); decoding now raises DecoderNotFoundError, encoding now raises EncoderNotFoundError, and BitStreamFilterContext accepts such a stream as out_stream by :gh-user:WyattBlue, reported by :gh-user:justinrmiller (:issue:2344).

Commits
  • 7e3d950 Release 18.1.0
  • 842955f Changelog entries missed since 18.0.0
  • fdb4ce4 Add InputContainer.start_time_realtime, closes #2365
  • b9ef85f Forward encoder options from VideoFrame.save()
  • f711ab6 Disable avx-512 in build-deps
  • 883642e Test with ffmpeg 9.0
  • b35726c FFmpeg 9.0 reorders AVCodecID
  • f6f0a5e Avoid probing primary context flags for no reason
  • 387fca5 Support explicit CUDA streams
  • 32e9f7d Refresh installation documentation
  • Additional commits viewable in compare view

Updates pypdf from 5.9.0 to 6.16.1

Release notes

Sourced from pypdf's releases.

Version 6.16.1, 2026-08-14

What's new

Security (SEC)

Full Changelog

Version 6.16.0, 2026-08-13

What's new

Security (SEC)

New Features (ENH)

  • AppearanceStream: Allow arbitrary rotations and apply rotations for annotation appearance streams (#3917) by @​PJBrs
  • AppearanceStream: Consider more encodings for Type1 core fonts (#3905) by @​PJBrs

Performance Improvements (PI)

  • Build /ToUnicode source-code bytes directly in parse_bfrange (#3952) by @​Anai-Guo

Bug Fixes (BUG)

Robustness (ROB)

  • AppearanceStream: Only escape parentheses for 8-bit fonts (#3961) by @​PJBrs
  • Recover the trailer from a cross-reference stream when rebuilding the xref (#3950) by @​Anai-Guo

Maintenance (MAINT)

  • Deduplicate CatalogAttributes and CatalogDictionary (#3940) by @​j-t-1

Code Style (STY)

Full Changelog

Version 6.15.0, 2026-08-06

What's new

Security (SEC)

Deprecations (DEP)

... (truncated)

Changelog

Sourced from pypdf's changelog.

Version 6.16.1, 2026-08-14

Security (SEC)

  • Limit iterations for outline retrieval and XForm text extraction (#3966)

Full Changelog

Version 6.16.0, 2026-08-13

Security (SEC)

  • Detect cycles in TreeObject.insert_child (#3964)

New Features (ENH)

  • AppearanceStream: Allow arbitrary rotations and apply rotations for annotation appearance streams (#3917)
  • AppearanceStream: Consider more encodings for Type1 core fonts (#3905)

Performance Improvements (PI)

  • Build /ToUnicode source-code bytes directly in parse_bfrange (#3952)

Bug Fixes (BUG)

  • Preserve internal Link annotations when appending/merging (#3953) (#3954)
  • Fix false inline image end markers (#3922)
  • Reject typeless non-page /Kids entries in strict mode (#3955)
  • Apply character spacing (Tc) per glyph in layout-mode extraction (Description has been truncated

@dependabot
deps: bump the runtime group across 1 directory with 10 updates
4c1a442 
Bumps the runtime group with 10 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [typer](https://github.com/fastapi/typer) | `0.26.8` | `0.27.1` |
| [torch](https://github.com/pytorch/pytorch) | `2.12.1` | `2.13.0` |
| [transformers](https://github.com/huggingface/transformers) | `5.13.0` | `5.15.1` |
| [datasets](https://github.com/huggingface/datasets) | `5.0.0` | `5.0.1` |
| [huggingface-hub](https://github.com/huggingface/huggingface_hub) | `1.22.0` | `1.28.0` |
| [av](https://github.com/PyAV-Org/PyAV) | `18.0.0` | `18.1.0` |
| [pypdf](https://github.com/py-pdf/pypdf) | `5.9.0` | `6.16.1` |
| [langchain-text-splitters](https://github.com/langchain-ai/langchain) | `0.3.11` | `1.1.2` |
| [sentence-transformers](https://github.com/huggingface/sentence-transformers) | `5.7.0` | `6.0.0` |
| [gradio](https://github.com/gradio-app/gradio) | `6.20.0` | `6.25.0` |



Updates `typer` from 0.26.8 to 0.27.1
- [Release notes](https://github.com/fastapi/typer/releases)
- [Changelog](https://github.com/fastapi/typer/blob/master/docs/release-notes.md)
- [Commits](fastapi/typer@0.26.8...0.27.1)

Updates `torch` from 2.12.1 to 2.13.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.12.1...v2.13.0)

Updates `transformers` from 5.13.0 to 5.15.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v5.13.0...v5.15.1)

Updates `datasets` from 5.0.0 to 5.0.1
- [Release notes](https://github.com/huggingface/datasets/releases)
- [Commits](huggingface/datasets@5.0.0...5.0.1)

Updates `huggingface-hub` from 1.22.0 to 1.28.0
- [Release notes](https://github.com/huggingface/huggingface_hub/releases)
- [Commits](huggingface/huggingface_hub@v1.22.0...v1.28.0)

Updates `av` from 18.0.0 to 18.1.0
- [Release notes](https://github.com/PyAV-Org/PyAV/releases)
- [Changelog](https://github.com/PyAV-Org/PyAV/blob/v18.1.0/CHANGELOG.rst)
- [Commits](PyAV-Org/PyAV@v18.0.0...v18.1.0)

Updates `pypdf` from 5.9.0 to 6.16.1
- [Release notes](https://github.com/py-pdf/pypdf/releases)
- [Changelog](https://github.com/py-pdf/pypdf/blob/main/CHANGELOG.md)
- [Commits](py-pdf/pypdf@5.9.0...6.16.1)

Updates `langchain-text-splitters` from 0.3.11 to 1.1.2
- [Release notes](https://github.com/langchain-ai/langchain/releases)
- [Commits](langchain-ai/langchain@langchain-text-splitters==0.3.11...langchain-text-splitters==1.1.2)

Updates `sentence-transformers` from 5.7.0 to 6.0.0
- [Release notes](https://github.com/huggingface/sentence-transformers/releases)
- [Commits](huggingface/sentence-transformers@v5.7.0...v6.0.0)

Updates `gradio` from 6.20.0 to 6.25.0
- [Release notes](https://github.com/gradio-app/gradio/releases)
- [Changelog](https://github.com/gradio-app/gradio/blob/main/CHANGELOG.md)
- [Commits](https://github.com/gradio-app/gradio/compare/gradio@6.20.0...gradio@6.25.0)

---
updated-dependencies:
- dependency-name: typer
  dependency-version: 0.27.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime
- dependency-name: torch
  dependency-version: 2.13.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime
- dependency-name: transformers
  dependency-version: 5.15.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime
- dependency-name: datasets
  dependency-version: 5.0.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: runtime
- dependency-name: huggingface-hub
  dependency-version: 1.28.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime
- dependency-name: av
  dependency-version: 18.1.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime
- dependency-name: pypdf
  dependency-version: 6.16.1
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: runtime
- dependency-name: langchain-text-splitters
  dependency-version: 1.1.2
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: runtime
- dependency-name: sentence-transformers
  dependency-version: 6.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: runtime
- dependency-name: gradio
  dependency-version: 6.25.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Aug 23, 2026
@dependabot @github

dependabot Bot commented on behalf of github Sep 27, 2026

Copy link
Copy Markdown
Author

Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot Bot closed this Sep 27, 2026
@dependabot
dependabot Bot deleted the dependabot/uv/runtime-461d9f51e3 branch September 27, 2026 18:54
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

No reviews

Assignees

No one assigned

Labels

dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

0 participants