Instructions to use eawang/roberta_mc_model_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model_12 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model_12") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model_12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eawang/roberta_mc_model_12: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/eawang/roberta_mc_model_12/resolve/main/training_args.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_12/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eawang/roberta_mc_model_12/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 106fa87820b03625b1cd5b8c512aaf4ee1532b2176808d5d0ffd67699f455cc8
- Size of remote file:
- 3.58 kB
- SHA256:
- 9f050b59514099647570e6796b5042b14b0245524d2468d6f714870461829caf
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