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:
- b1e2b79c012940504644e0e2276a7c7509ffe12e203d003aa23514f811725265
- Size of remote file:
- 437 MB
- SHA256:
- 25039d421eee389dbc73b0cfa86ad4f24ef678c62ba08f4ebd57e4b79cc35489
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