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
File size: 90 Bytes
023c7da | 1 2 3 4 5 | {
"embedding_dimension": 768,
"pooling_mode": "mean",
"include_prompt": true
} |