Instructions to use hz53/roberta-base-copa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hz53/roberta-base-copa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hz53/roberta-base-copa") model = AutoModelForMultipleChoice.from_pretrained("hz53/roberta-base-copa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hz53/roberta-base-copa: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/hz53/roberta-base-copa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hz53/roberta-base-copa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hz53/roberta-base-copa/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- e6ef0600e1d3bebbb56c5736dc13a02e1c5421cef170ba94fd03d8120e742027
- Size of remote file:
- 499 MB
- SHA256:
- e49684b5605cf5b8ed72a3fc0a1969498af5f7a376cba51f2dd16744ca3c6238
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