Instructions to use allenai/scibert_scivocab_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/scibert_scivocab_uncased with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("allenai/scibert_scivocab_uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from allenai/scibert_scivocab_uncased: direct link, hf CLI and curl.
- Browser
- Download file 442 MB
-
https://huggingface.co/allenai/scibert_scivocab_uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://allenai/scibert_scivocab_uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/allenai/scibert_scivocab_uncased/resolve/main/pytorch_model.bin
442 MB
- Xet hash:
- 72a9d795cc58d46f782439ef151566b7bb6b446f34a344880e8b71b59853d0e4
- Size of remote file:
- 442 MB
- SHA256:
- e492944d88ac97dee6baa547671d3c526a3d067676883efb058311f4e5882e1a
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