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GitHub / fast-llm / FastTextClassification
FastTextClassification is all you need for text classification! Fast text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fast-llm%2FFastTextClassification
Stars: 27
Forks: 1
Open Issues: 1
License: None
Language: Python
Repo Size: 521 KB
Dependencies:
267
Created: about 1 month ago
Updated: 27 days ago
Last pushed: 27 days ago
Last synced: 26 days ago
Topics: bert, ernie, fast, llm, textclassification
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Dependencies
pyproject.toml
pypi
- accelerate ^0.30.0
- datasets ^2.19.0
- deepspeed 0.14.0
- einops ^0.8.0
- fastapi ^0.110.3
- gputil ^1.4.0
- jieba ^0.42.1
- matplotlib ^3.8.4
- nltk ^3.8.1
- numba ^0.59.1
- numpy ^1.26.4
- pandas ^2.2.2
- protobuf ^5.26.1
- pydantic ^2.7.1
- python ^3.10
- rouge-chinese ^1.0.3
- scikit-learn ^1.4.2
- scipy ^1.13.0
- sentencepiece ^0.2.0
- sse-starlette ^2.1.0
- tensorboardx ^2.6.2.2
- tiktoken ^0.6.0
- torchtext ^0.18.0
- transformers 4.39.1
- transformers-stream-generator 0.0.5
- uvicorn ^0.29.0
- pytorch/pytorch 2.2.0-cuda12.1-cudnn8-runtime build
- pytorch/pytorch 2.2.0-cuda12.1-cudnn8-runtime build
requirements.txt
pypi
- absl-py ==2.1.0
- accelerate ==0.30.0
- aiohttp ==3.9.5
- aiosignal ==1.3.1
- annotated-types ==0.6.0
- anyio ==4.3.0
- appnope ==0.1.4
- asttokens ==2.4.1
- async-timeout ==4.0.3
- attrs ==23.2.0
- certifi ==2024.2.2
- cffi ==1.16.0
- charset-normalizer ==3.3.2
- click ==8.1.7
- colorama ==0.4.6
- comm ==0.2.2
- contourpy ==1.2.1
- cycler ==0.12.1
- datasets ==2.19.0
- debugpy ==1.8.1
- decorator ==5.1.1
- deepspeed ==0.14.0
- dill ==0.3.8
- einops ==0.8.0
- et-xmlfile ==1.1.0
- exceptiongroup ==1.2.1
- executing ==2.0.1
- fastapi ==0.110.3
- filelock ==3.14.0
- fonttools ==4.51.0
- frozenlist ==1.4.1
- fsspec ==2024.3.1
- gputil ==1.4.0
- grpcio ==1.63.0
- h11 ==0.14.0
- hjson ==3.1.0
- huggingface-hub ==0.22.2
- idna ==3.7
- intel-openmp ==2021.4.0
- ipykernel ==6.29.4
- ipython ==8.24.0
- jedi ==0.19.1
- jieba ==0.42.1
- jinja2 ==3.1.3
- joblib ==1.4.0
- jupyter-client ==8.6.1
- jupyter-core ==5.7.2
- kiwisolver ==1.4.5
- llvmlite ==0.42.0
- markdown ==3.6
- markupsafe ==2.1.5
- matplotlib ==3.8.4
- matplotlib-inline ==0.1.7
- mkl ==2021.4.0
- mpmath ==1.3.0
- multidict ==6.0.5
- multiprocess ==0.70.16
- nest-asyncio ==1.6.0
- networkx ==3.3
- ninja ==1.11.1.1
- nltk ==3.8.1
- numba ==0.59.1
- numpy ==1.26.4
- nvidia-cublas-cu12 ==12.1.3.1
- nvidia-cuda-cupti-cu12 ==12.1.105
- nvidia-cuda-nvrtc-cu12 ==12.1.105
- nvidia-cuda-runtime-cu12 ==12.1.105
- nvidia-cudnn-cu12 ==8.9.2.26
- nvidia-cufft-cu12 ==11.0.2.54
- nvidia-curand-cu12 ==10.3.2.106
- nvidia-cusolver-cu12 ==11.4.5.107
- nvidia-cusparse-cu12 ==12.1.0.106
- nvidia-nccl-cu12 ==2.20.5
- nvidia-nvjitlink-cu12 ==12.4.127
- nvidia-nvtx-cu12 ==12.1.105
- openpyxl ==3.1.2
- packaging ==24.0
- pandas ==2.2.2
- parso ==0.8.4
- pexpect ==4.9.0
- pillow ==10.3.0
- platformdirs ==4.2.1
- prompt-toolkit ==3.0.43
- protobuf ==5.26.1
- psutil ==5.9.8
- ptyprocess ==0.7.0
- pure-eval ==0.2.2
- py-cpuinfo ==9.0.0
- pyarrow ==16.0.0
- pyarrow-hotfix ==0.6
- pycparser ==2.22
- pydantic ==2.7.1
- pydantic-core ==2.18.2
- pygments ==2.18.0
- pynvml ==11.5.0
- pyparsing ==3.1.2
- python-dateutil ==2.9.0.post0
- pytz ==2024.1
- pywin32 ==306
- pyyaml ==6.0.1
- pyzmq ==26.0.3
- regex ==2024.4.28
- requests ==2.31.0
- rouge-chinese ==1.0.3
- safetensors ==0.4.3
- scikit-learn ==1.4.2
- scipy ==1.13.0
- sentencepiece ==0.2.0
- setuptools ==69.5.1
- six ==1.16.0
- sniffio ==1.3.1
- sse-starlette ==2.1.0
- stack-data ==0.6.3
- starlette ==0.37.2
- sympy ==1.12
- tbb ==2021.12.0
- tensorboard ==2.16.2
- tensorboard-data-server ==0.7.2
- tensorboardx ==2.6.2.2
- threadpoolctl ==3.5.0
- tiktoken ==0.6.0
- tokenizers ==0.15.2
- torch ==2.3.0
- torchtext ==0.18.0
- tornado ==6.4
- tqdm ==4.66.2
- traitlets ==5.14.3
- transformers ==4.39.1
- transformers-stream-generator ==0.0.5
- triton ==2.3.0
- typing-extensions ==4.11.0
- tzdata ==2024.1
- urllib3 ==2.2.1
- uvicorn ==0.29.0
- wcwidth ==0.2.13
- werkzeug ==3.0.3
- xxhash ==3.4.1
- yarl ==1.9.4