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
- Xet hash:
- 9e898e856090a032874ca3c347fdfabf1cd2a6b4c0bda4caf47523181e291b11
- Size of remote file:
- 437 MB
- SHA256:
- 50b642eed3446590e24d7e6961c55c6939afcd6ad51cf48642b89db6150f6a8e
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