Instructions to use eawang/roberta_mc_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eawang/roberta_mc_model: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/eawang/roberta_mc_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eawang/roberta_mc_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eawang/roberta_mc_model/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 08e84da1c4bbc520e0d9e908b0066491a59326074d9f88d1771698c3e82200e2
- Size of remote file:
- 499 MB
- SHA256:
- be500ee50f542153291727274ae24722fe8d48c063cabc980d45a0ad04262e2b
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