Instructions to use IVN-RIN/medBIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IVN-RIN/medBIT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="IVN-RIN/medBIT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IVN-RIN/medBIT") model = AutoModelForMaskedLM.from_pretrained("IVN-RIN/medBIT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c0437764120f63693cef5e97601ca02e2c260e20a9f828a3edeb2182295331d
- Size of remote file:
- 440 MB
- SHA256:
- d2ebc848a1000c4b179c299877c113bbffd31e06600a430a6b4f93bda6947928
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