Instructions to use IVN-RIN/MedPsyNIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IVN-RIN/MedPsyNIT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IVN-RIN/MedPsyNIT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("IVN-RIN/MedPsyNIT") model = AutoModelForTokenClassification.from_pretrained("IVN-RIN/MedPsyNIT") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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Manuscript available at [arxiv.org/abs/2306.05323](https://arxiv.org/abs/2306.05323)
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library_name: transformers
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# Advancing Italian Biomedical Information Extraction with Large Language Models: Methodological Insights and Multicenter Practical Application
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Manuscript available at [arxiv.org/abs/2306.05323](https://arxiv.org/abs/2306.05323)
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