Instructions to use IVN-RIN/medBIT-r3-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IVN-RIN/medBIT-r3-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="IVN-RIN/medBIT-r3-plus")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IVN-RIN/medBIT-r3-plus") model = AutoModelForMaskedLM.from_pretrained("IVN-RIN/medBIT-r3-plus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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example_title: "Example 1"
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- text: "Il pancreas produce diversi [MASK] molto importanti tra i quali l'insulina e il glucagone."
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example_title: "Example 2"
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- text: "L'asma allergica è una patologia dell'[MASK] respiratorio causata dalla presenza di allergeni responsabili dell'infiammazione dell'albero bronchiale."
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example_title: "Example 1"
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- text: "Il pancreas produce diversi [MASK] molto importanti tra i quali l'insulina e il glucagone."
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example_title: "Example 2"
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