Text Classification
sentence-transformers
PyTorch
setfit
multilingual
xlm-roberta
text-embeddings-inference
Instructions to use uaritm/test_depres with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use uaritm/test_depres with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("uaritm/test_depres") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use uaritm/test_depres with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("uaritm/test_depres") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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