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:
# 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:12085d13868e783e0125a11e78460e292b5e5ee219370f3a8514942e5ad1bdf7
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size 798889000
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