Instructions to use eawang/roberta_mc_model_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model_6 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model_6") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model_6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eawang/roberta_mc_model_6: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/eawang/roberta_mc_model_6/resolve/main/training_args.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_6/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eawang/roberta_mc_model_6/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- a1df1904b3db0af16cb0c81a2e8a3461abd146e4ab6459dc5bb14febc1a050a9
- Size of remote file:
- 3.58 kB
- SHA256:
- f13ed0e8b252938c63dd535b29df914978385f76543b08ed4883822eb2fe2182
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