Instructions to use alessioGalatolo/AMAeval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alessioGalatolo/AMAeval with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alessioGalatolo/AMAeval", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1baa888eb71f325a890c86e23cf7d338d409c2d23b2481f5c13e196464c2cda
- Size of remote file:
- 120 MB
- SHA256:
- 7f475fd45ac2d79c3bec69ee515c1b619b8a5147272fa8e4ca117e15e8a95a57
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