requirements.txt

# This file was autogenerated by uv via the following command:
#    uv pip compile requirements.in -o requirements.txt
aiohappyeyeballs==2.4.6
    # via aiohttp
aiohttp==3.11.12
    # via
    #   -r requirements.in
    #   datasets
    #   fsspec
aiosignal==1.3.2
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
anyio==4.8.0
    # via
    #   httpx
    #   starlette
attrs==25.1.0
    # via aiohttp
cashews==7.4.0
    # via -r requirements.in
certifi==2025.1.31
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.4.1
    # via requests
click==8.1.8
    # via uvicorn
coloredlogs==15.0.1
    # via onnxruntime
datasets==2.14.4
    # via
    #   evaluate
    #   optimum
dill==0.3.7
    # via
    #   datasets
    #   evaluate
    #   multiprocess
duckdb==1.2.0
    # via -r requirements.in
einops==0.8.1
    # via -r requirements.in
evaluate==0.4.3
    # via optimum
fastapi==0.115.8
    # via -r requirements.in
filelock==3.17.0
    # via
    #   huggingface-hub
    #   torch
    #   transformers
flatbuffers==25.2.10
    # via onnxruntime
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2025.2.0
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   torch
h11==0.14.0
    # via
    #   httpcore
    #   uvicorn
h2==4.2.0
    # via httpx
hf-transfer==0.1.9
    # via huggingface-hub
hpack==4.1.0
    # via h2
httpcore==1.0.7
    # via httpx
httpx==0.28.1
    # via -r requirements.in
huggingface-hub==0.28.1
    # via
    #   -r requirements.in
    #   datasets
    #   evaluate
    #   optimum
    #   sentence-transformers
    #   tokenizers
    #   transformers
humanfriendly==10.0
    # via coloredlogs
hyperframe==6.1.0
    # via h2
idna==3.10
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
jinja2==3.1.5
    # via torch
joblib==1.4.2
    # via scikit-learn
markupsafe==3.0.2
    # via jinja2
mpmath==1.3.0
    # via sympy
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.15
    # via
    #   datasets
    #   evaluate
networkx==3.4.2
    # via torch
numpy==2.2.2
    # via
    #   datasets
    #   evaluate
    #   onnx
    #   onnxruntime
    #   optimum
    #   pandas
    #   scikit-learn
    #   scipy
    #   transformers
onnx==1.17.0
    # via optimum
onnxruntime==1.20.1
    # via optimum
optimum==1.24.0
    # via sentence-transformers
packaging==24.2
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   onnxruntime
    #   optimum
    #   transformers
pandas==2.2.3
    # via
    #   -r requirements.in
    #   datasets
    #   evaluate
pillow==11.1.0
    # via sentence-transformers
polars==1.22.0
    # via -r requirements.in
propcache==0.2.1
    # via
    #   aiohttp
    #   yarl
protobuf==5.29.3
    # via
    #   onnx
    #   onnxruntime
    #   optimum
pyarrow==19.0.0
    # via datasets
pydantic==2.10.6
    # via
    #   -r requirements.in
    #   fastapi
pydantic-core==2.27.2
    # via pydantic
python-dateutil==2.9.0.post0
    # via pandas
python-dotenv==1.0.1
    # via -r requirements.in
pytz==2025.1
    # via pandas
pyyaml==6.0.2
    # via
    #   datasets
    #   huggingface-hub
    #   transformers
regex==2024.11.6
    # via transformers
requests==2.32.3
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   transformers
safetensors==0.5.2
    # via transformers
scikit-learn==1.6.1
    # via sentence-transformers
scipy==1.15.1
    # via
    #   scikit-learn
    #   sentence-transformers
sentence-transformers==3.4.1
    # via -r requirements.in
setuptools==75.8.0
    # via torch
six==1.17.0
    # via python-dateutil
sniffio==1.3.1
    # via anyio
stamina==24.3.0
    # via -r requirements.in
starlette==0.45.3
    # via fastapi
sympy==1.13.1
    # via
    #   onnxruntime
    #   torch
tenacity==9.0.0
    # via stamina
threadpoolctl==3.5.0
    # via scikit-learn
tokenizers==0.21.0
    # via transformers
torch==2.6.0
    # via
    #   optimum
    #   sentence-transformers
tqdm==4.67.1
    # via
    #   -r requirements.in
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   sentence-transformers
    #   transformers
transformers==4.48.3
    # via
    #   optimum
    #   sentence-transformers
typing-extensions==4.12.2
    # via
    #   anyio
    #   fastapi
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   torch
tzdata==2025.1
    # via pandas
urllib3==2.3.0
    # via requests
uvicorn==0.34.0
    # via -r requirements.in
xxhash==3.5.0
    # via
    #   datasets
    #   evaluate
yarl==1.18.3
    # via aiohttp