upgrade transformers

pyproject.toml

@@ -11,7 +11,7 @@ dependencies = [
     "hf-transfer>=0.1.8",
     "plotly>=5.24.1",
     "torch>=2.5.1",
-    "transformers>=4.47.1",
+    "transformers>=4.57.1",
 ]
 
 [tool.ruff]

requirements.txt

@@ -1,277 +1,105 @@
-# This file was autogenerated by uv via the following command:
-#    uv pip compile pyproject.toml -o requirements.txt
-aiofiles==23.2.1
-    # via gradio
-aiohappyeyeballs==2.4.4
-    # via aiohttp
-aiohttp==3.11.11
-    # via
-    #   datasets
-    #   fsspec
-aiosignal==1.3.2
-    # via aiohttp
+aiofiles==24.1.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.13.2
+aiosignal==1.4.0
+annotated-doc==0.0.3
 annotated-types==0.7.0
-    # via pydantic
-anyio==4.7.0
-    # via
-    #   gradio
-    #   httpx
-    #   starlette
-apscheduler==3.11.0
-    # via open-japanese-llm-leaderboard (pyproject.toml)
+anyio==4.11.0
+apscheduler==3.11.1
 async-timeout==5.0.1
-    # via aiohttp
-attrs==24.3.0
-    # via aiohttp
-certifi==2024.12.14
-    # via
-    #   httpcore
-    #   httpx
-    #   requests
-charset-normalizer==3.4.0
-    # via requests
-click==8.1.8
-    # via
-    #   typer
-    #   uvicorn
-datasets==3.2.0
-    # via open-japanese-llm-leaderboard (pyproject.toml)
-dill==0.3.8
-    # via
-    #   datasets
-    #   multiprocess
-exceptiongroup==1.2.2
-    # via anyio
-fastapi==0.115.6
-    # via gradio
-ffmpy==0.5.0
-    # via gradio
-filelock==3.16.1
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   torch
-    #   transformers
-    #   triton
-frozenlist==1.5.0
-    # via
-    #   aiohttp
-    #   aiosignal
-fsspec==2024.9.0
-    # via
-    #   datasets
-    #   gradio-client
-    #   huggingface-hub
-    #   torch
-gradio==5.9.1
-    # via open-japanese-llm-leaderboard (pyproject.toml)
-gradio-client==1.5.2
-    # via gradio
-h11==0.14.0
-    # via
-    #   httpcore
-    #   uvicorn
-hf-transfer==0.1.8
-    # via open-japanese-llm-leaderboard (pyproject.toml)
-httpcore==1.0.7
-    # via httpx
+attrs==25.4.0
+authlib==1.6.5
+brotli==1.2.0
+certifi==2025.10.5
+cffi==2.0.0
+charset-normalizer==3.4.4
+click==8.3.0
+cryptography==46.0.3
+datasets==4.4.1
+dill==0.4.0
+exceptiongroup==1.3.0
+fastapi==0.121.1
+ffmpy==0.6.4
+filelock==3.20.0
+frozenlist==1.8.0
+fsspec==2025.10.0
+gradio==5.49.1
+gradio-client==1.13.3
+groovy==0.1.2
+h11==0.16.0
+hf-transfer==0.1.9
+hf-xet==1.2.0
+httpcore==1.0.9
 httpx==0.28.1
-    # via
-    #   gradio
-    #   gradio-client
-    #   safehttpx
-huggingface-hub==0.27.0
-    # via
-    #   datasets
-    #   gradio
-    #   gradio-client
-    #   tokenizers
-    #   transformers
-idna==3.10
-    # via
-    #   anyio
-    #   httpx
-    #   requests
-    #   yarl
-jinja2==3.1.5
-    # via
-    #   gradio
-    #   torch
-markdown-it-py==3.0.0
-    # via rich
-markupsafe==2.1.5
-    # via
-    #   gradio
-    #   jinja2
+huggingface-hub==0.36.0
+idna==3.11
+itsdangerous==2.2.0
+jinja2==3.1.6
+markdown-it-py==4.0.0
+markupsafe==3.0.3
 mdurl==0.1.2
-    # via markdown-it-py
 mpmath==1.3.0
-    # via sympy
-multidict==6.1.0
-    # via
-    #   aiohttp
-    #   yarl
-multiprocess==0.70.16
-    # via datasets
+multidict==6.7.0
+multiprocess==0.70.18
+narwhals==2.10.2
 networkx==3.4.2
-    # via torch
-numpy==2.2.1
-    # via
-    #   datasets
-    #   gradio
-    #   pandas
-    #   transformers
-nvidia-cublas-cu12==12.4.5.8
-    # via
-    #   nvidia-cudnn-cu12
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-cuda-cupti-cu12==12.4.127
-    # via torch
-nvidia-cuda-nvrtc-cu12==12.4.127
-    # via torch
-nvidia-cuda-runtime-cu12==12.4.127
-    # via torch
-nvidia-cudnn-cu12==9.1.0.70
-    # via torch
-nvidia-cufft-cu12==11.2.1.3
-    # via torch
-nvidia-curand-cu12==10.3.5.147
-    # via torch
-nvidia-cusolver-cu12==11.6.1.9
-    # via torch
-nvidia-cusparse-cu12==12.3.1.170
-    # via
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-nccl-cu12==2.21.5
-    # via torch
-nvidia-nvjitlink-cu12==12.4.127
-    # via
-    #   nvidia-cusolver-cu12
-    #   nvidia-cusparse-cu12
-    #   torch
-nvidia-nvtx-cu12==12.4.127
-    # via torch
-orjson==3.10.12
-    # via gradio
-packaging==24.2
-    # via
-    #   datasets
-    #   gradio
-    #   gradio-client
-    #   huggingface-hub
-    #   plotly
-    #   transformers
-pandas==2.2.3
-    # via
-    #   datasets
-    #   gradio
-pillow==11.0.0
-    # via gradio
-plotly==5.24.1
-    # via open-japanese-llm-leaderboard (pyproject.toml)
-propcache==0.2.1
-    # via
-    #   aiohttp
-    #   yarl
-pyarrow==18.1.0
-    # via datasets
-pydantic==2.10.4
-    # via
-    #   fastapi
-    #   gradio
-pydantic-core==2.27.2
-    # via pydantic
+numpy==2.2.6
+nvidia-cublas-cu12==12.8.4.1
+nvidia-cuda-cupti-cu12==12.8.90
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-cuda-runtime-cu12==12.8.90
+nvidia-cudnn-cu12==9.10.2.21
+nvidia-cufft-cu12==11.3.3.83
+nvidia-cufile-cu12==1.13.1.3
+nvidia-curand-cu12==10.3.9.90
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+nvidia-cusparselt-cu12==0.7.1
+nvidia-nccl-cu12==2.27.5
+nvidia-nvjitlink-cu12==12.8.93
+nvidia-nvshmem-cu12==3.3.20
+nvidia-nvtx-cu12==12.8.90
+orjson==3.11.4
+packaging==25.0
+pandas==2.3.3
+pillow==11.3.0
+plotly==6.4.0
+propcache==0.4.1
+pyarrow==22.0.0
+pycparser==2.23
+pydantic==2.11.10
+pydantic-core==2.33.2
 pydub==0.25.1
-    # via gradio
-pygments==2.18.0
-    # via rich
+pygments==2.19.2
 python-dateutil==2.9.0.post0
-    # via pandas
 python-multipart==0.0.20
-    # via gradio
-pytz==2024.2
-    # via pandas
-pyyaml==6.0.2
-    # via
-    #   datasets
-    #   gradio
-    #   huggingface-hub
-    #   transformers
-regex==2024.11.6
-    # via transformers
-requests==2.32.3
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   transformers
-rich==13.9.4
-    # via typer
-ruff==0.8.4
-    # via gradio
-safehttpx==0.1.6
-    # via gradio
-safetensors==0.4.5
-    # via transformers
+pytz==2025.2
+pyyaml==6.0.3
+regex==2025.11.3
+requests==2.32.5
+rich==14.2.0
+ruff==0.14.4
+safehttpx==0.1.7
+safetensors==0.6.2
 semantic-version==2.10.0
-    # via gradio
 shellingham==1.5.4
-    # via typer
 six==1.17.0
-    # via python-dateutil
 sniffio==1.3.1
-    # via anyio
-starlette==0.41.3
-    # via
-    #   fastapi
-    #   gradio
-sympy==1.13.1
-    # via torch
-tenacity==9.0.0
-    # via plotly
-tokenizers==0.21.0
-    # via transformers
-tomlkit==0.13.2
-    # via gradio
-torch==2.5.1
-    # via open-japanese-llm-leaderboard (pyproject.toml)
+starlette==0.49.3
+sympy==1.14.0
+tokenizers==0.22.1
+tomlkit==0.13.3
+torch==2.9.0
 tqdm==4.67.1
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   transformers
-transformers==4.47.1
-    # via open-japanese-llm-leaderboard (pyproject.toml)
-triton==3.1.0
-    # via torch
-typer==0.15.1
-    # via gradio
-typing-extensions==4.12.2
-    # via
-    #   anyio
-    #   fastapi
-    #   gradio
-    #   gradio-client
-    #   huggingface-hub
-    #   multidict
-    #   pydantic
-    #   pydantic-core
-    #   rich
-    #   torch
-    #   typer
-    #   uvicorn
-tzdata==2024.2
-    # via pandas
-tzlocal==5.2
-    # via apscheduler
-urllib3==2.3.0
-    # via requests
-uvicorn==0.34.0
-    # via gradio
-websockets==14.1
-    # via gradio-client
-xxhash==3.5.0
-    # via datasets
-yarl==1.18.3
-    # via aiohttp
+transformers==4.57.1
+triton==3.5.0
+typer==0.20.0
+typing-extensions==4.15.0
+typing-inspection==0.4.2
+tzdata==2025.2
+tzlocal==5.3.1
+urllib3==2.5.0
+uvicorn==0.38.0
+websockets==15.0.1
+xxhash==3.6.0
+yarl==1.22.0