Instructions to use joheras/NASES-clara-med with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joheras/NASES-clara-med with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("joheras/NASES-clara-med") model = AutoModelForSeq2SeqLM.from_pretrained("joheras/NASES-clara-med") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d83927b3be86c7f2697e2f7efdf6e71b328fe876302c545f80bfb364b7a9ddc
- Size of remote file:
- 1.66 GB
- SHA256:
- 2bf8b3627109d63432e28ea88c840ef4eebfb1c3450737a5ebdaa1785599bd66
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