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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("IVN-RIN/MedPsyNIT") model = AutoModelForTokenClassification.from_pretrained("IVN-RIN/MedPsyNIT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatureAdded base model (IVN-RIN/bioBIT)0e36963
-
Update config.json
Verified signatureFixed "id2label", now it shows the correct name of the entities.0cf9f25
-
Update README.md
Verified signatureFixed typoca9e121
-
Update README.md
Verified signature412830d -
Update README.md
Verified signature843fa57 -
Update README.md
Verified signatureAdded model description3cbdd21
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (ba3b567e2c842adaea8b9b58a1e5b7ece0687282) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>459e516
-
Update README.md
51e10d2
-
Updated README
17f638a -
First commit
5b96733 -
initial commit
7034883