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:
- 70dccd5cce4e90a51a007aa3881e760d9a00065f15f65cce3f3e6b8e45e5580b
- Size of remote file:
- 3.52 kB
- SHA256:
- af255080a363047d18603438cdd77dc028c478a67d60253b5622aa4c16d4eca8
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