Instructions to use eawang/roberta_mc_model_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model_5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model_5") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eawang/roberta_mc_model_5: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/eawang/roberta_mc_model_5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eawang/roberta_mc_model_5/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 93ac6d3f6ed2f7e5cd96381c6696ad5c8eeb516faa58eebc1be1b310f4a426ed
- Size of remote file:
- 499 MB
- SHA256:
- b43e8d214fc030c375f017d68bf379ae49d381db0c84c9adf5193e751b2849d2
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