Instructions to use eawang/roberta_mc_model_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model_8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model_8") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eawang/roberta_mc_model_8: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/eawang/roberta_mc_model_8/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eawang/roberta_mc_model_8/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 5a5826c7216209547ab69140412e09f466fb631436484d0742adfea67018f0a3
- Size of remote file:
- 499 MB
- SHA256:
- 302e7b0d36cfbe516fd23e107e2f41c65d2c153b95a49829074f3a8df2c3ebff
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