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 pytorch_model.bin from eawang/roberta_mc_model_12: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/eawang/roberta_mc_model_12/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_12/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eawang/roberta_mc_model_12/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- d8941d7abb5976e410a930af08bc0dcc7927e3b4199abf7d9d1a6e9942092818
- Size of remote file:
- 499 MB
- SHA256:
- 10549434bd69066df4e8c8b70161e80941472d2964b87e896bf20a1b17002e7c
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