Instructions to use SXUCFN/CFNParser-FI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SXUCFN/CFNParser-FI with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SXUCFN/CFNParser-FI") model = AutoModel.from_pretrained("SXUCFN/CFNParser-FI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SXUCFN/CFNParser-FI: direct link, hf CLI and curl.
- Browser
- Download file 683 MB
-
https://huggingface.co/SXUCFN/CFNParser-FI/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SXUCFN/CFNParser-FI/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SXUCFN/CFNParser-FI/resolve/main/pytorch_model.bin
683 MB
- Xet hash:
- 219313623c05d616375f79416da7b6173770a1afa4cd242e52aa77adbbd40768
- Size of remote file:
- 683 MB
- SHA256:
- 746f43e0f00301fe1df0edde7e5d83c3faeeab67cb8058c7d20edf04801a4531
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