Instructions to use nfliu/scibert_basevocab_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nfliu/scibert_basevocab_uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nfliu/scibert_basevocab_uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from nfliu/scibert_basevocab_uncased: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/nfliu/scibert_basevocab_uncased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://nfliu/scibert_basevocab_uncased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/nfliu/scibert_basevocab_uncased/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- 1e103e8954ac1c672bda2dfe03d24ab17bb78f265035f12231edd2d21df04a9f
- Size of remote file:
- 438 MB
- SHA256:
- a5c5354334f8e38dcb6ce05ddde1cffc691dc9057893e9c88562b409c6ee9b3d
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