Instructions to use allenai/cs_roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/cs_roberta_base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("allenai/cs_roberta_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from allenai/cs_roberta_base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/allenai/cs_roberta_base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://allenai/cs_roberta_base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/allenai/cs_roberta_base/resolve/main/flax_model.msgpack
499 MB
- Xet hash:
- 7a82d6ec8362e7be0761c96b3133194b62947eeb4eb0321d06ac37ac15fa8330
- Size of remote file:
- 499 MB
- SHA256:
- 40e61b536101b1744681b16d6bc3adc3ec5a7f63f536740fdf881fe53e27f1e7
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