40 lines
1.1 KiB
Plaintext
40 lines
1.1 KiB
Plaintext
pymupdf
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paddlepaddle==2.4.2
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paddleocr~=2.6.1.3
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langchain==0.0.174
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transformers==4.29.1
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unstructured[local-inference]
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layoutparser[layoutmodels,tesseract]
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nltk~=3.8.1
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sentence-transformers
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beautifulsoup4
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icetk
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cpm_kernels
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faiss-cpu
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gradio==3.28.3
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fastapi~=0.95.0
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uvicorn~=0.21.1
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pypinyin~=0.48.0
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click~=8.1.3
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tabulate
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feedparser
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azure-core
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openai
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#accelerate~=0.18.0
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#peft~=0.3.0
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#bitsandbytes; platform_system != "Windows"
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# 要调用llama-cpp模型，如vicuma-13b量化模型需要安装llama-cpp-python库
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# but!!! 实测pip install 不好使，需要手动从ttps://github.com/abetlen/llama-cpp-python/releases/下载
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# 而且注意不同时期的ggml格式并不！兼！容!!!因此需要安装的llama-cpp-python版本也不一致，需要手动测试才能确定
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# 实测ggml-vicuna-13b-1.1在llama-cpp-python 0.1.63上可正常兼容
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# 不过！！！本项目模型加载的方式控制的比较严格，与llama-cpp-python的兼容性较差，很多参数设定不能使用，
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# 建议如非必要还是不要使用llama-cpp
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torch~=2.0.0
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pydantic~=1.10.7
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starlette~=0.26.1
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numpy~=1.23.5
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tqdm~=4.65.0
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requests~=2.28.2
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tenacity~=8.2.2
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charset_normalizer==2.1.0 |