Feature Extraction
sentence-transformers
Safetensors
English
bert
intent-classification
text-embeddings-inference
Instructions to use drithh/intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use drithh/intent-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("drithh/intent-classifier") 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:
- 9bab0df136f7c0ae04c0e0b4a5867dd52ff43eeeabcafabfef9dca125551c7c4
- Size of remote file:
- 69.6 MB
- SHA256:
- a940bfed36e547174f9474aed4a95b6bd0c18673d85a699bb32551108cead383
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