Sentence Similarity
sentence-transformers
PyTorch
bert
feature-extraction
setfit classification
binary_classification
text-embeddings-inference
Instructions to use nayan06/binary-classifier-conversion-intent-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nayan06/binary-classifier-conversion-intent-1.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nayan06/binary-classifier-conversion-intent-1.0") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9020427b360a10cdfa0bef07ba4d5987463cc2382b4db06937404206c8b3a6b
- Size of remote file:
- 134 MB
- SHA256:
- e0a9bd1afb52e98b73a97e6b7e1522cb6e83e7548cb15d84a1f2b3219ba87b00
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