Instructions to use eawang/roberta_mc_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model_2") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eawang/roberta_mc_model_2: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/eawang/roberta_mc_model_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eawang/roberta_mc_model_2/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- abc4009ccab3e63055d18849be7f6b24a77bb4f6d3e9f4b7227f1333747c7c26
- Size of remote file:
- 499 MB
- SHA256:
- 15bb2c0f12f19697e3701f1c5a652311d73b83d21f07804bffb728b393b3e57f
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