Instructions to use SXUCFN/CFNParser-RI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SXUCFN/CFNParser-RI with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SXUCFN/CFNParser-RI") model = AutoModel.from_pretrained("SXUCFN/CFNParser-RI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from SXUCFN/CFNParser-RI: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
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https://huggingface.co/SXUCFN/CFNParser-RI/resolve/main/README.md
- Command line
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hf download hf://SXUCFN/CFNParser-RI/README.md
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curl -L -o README.md https://huggingface.co/SXUCFN/CFNParser-RI/resolve/main/README.md
28 Bytes
| license: apache-2.0 | |