Instructions to use allenai/reviews_roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/reviews_roberta_base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("allenai/reviews_roberta_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from allenai/reviews_roberta_base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/allenai/reviews_roberta_base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://allenai/reviews_roberta_base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/allenai/reviews_roberta_base/resolve/main/flax_model.msgpack
499 MB
- Xet hash:
- 4a6e4ecec8c6978b3057860548ca2b4143ad30bb4d018ef81ee9ede6759411a6
- Size of remote file:
- 499 MB
- SHA256:
- c0dcdb61f37d68f574a74774c790be9dfcb5d9974c216ae74762ce78682ac851
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