Text Classification
setfit
Safetensors
sentence-transformers
deberta-v2
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use NaveenKumar96/intent-setfit-deberta-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use NaveenKumar96/intent-setfit-deberta-v1 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("NaveenKumar96/intent-setfit-deberta-v1") - sentence-transformers
How to use NaveenKumar96/intent-setfit-deberta-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NaveenKumar96/intent-setfit-deberta-v1") 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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf95a7ab5d7a81306098592cbdc5fd97faa89fc3b0546e7d8dc99d76d744c780
- Size of remote file:
- 1.47 GB
- SHA256:
- 8d895fc7bd05a2aff489ce89319b46d7eceffc89fe325e3cbb2af9fafbdf7383
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