Instructions to use rntc/biomed-fr-v2-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rntc/biomed-fr-v2-classifier with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rntc/biomed-fr-v2-classifier") model = AutoModel.from_pretrained("rntc/biomed-fr-v2-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3d8915dcc2e17a067f6dde1b0d21e20f1b1dd9905c59a4b207efc0270b8fe05
- Size of remote file:
- 5.84 kB
- SHA256:
- b8aa197df722ccd83792914af4081c52e045f02f38a8f2c92c7e6b8a5e2f229c
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