Instructions to use afaji/fresh-2-layer-copa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afaji/fresh-2-layer-copa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("afaji/fresh-2-layer-copa") model = AutoModelForMultipleChoice.from_pretrained("afaji/fresh-2-layer-copa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e38d53e27727cdd525d99a12d10b75a535f1ee2c056ea726a89f6b422832bc1
- Size of remote file:
- 98.2 MB
- SHA256:
- 49414f077359174e1ddf8f3d20424679ca920db05c6a80a8f023ddd7597c9b02
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