Sentence Similarity
sentence-transformers
PyTorch
distilbert
feature-extraction
text-embeddings-inference
Instructions to use pinecone/distiluse-podcast-nq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use pinecone/distiluse-podcast-nq with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pinecone/distiluse-podcast-nq") 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:
- 141ed8de8764b65a53483fa7444a28c634ce2f8fba05505299682c72016d6233
- Size of remote file:
- 539 MB
- SHA256:
- 5a3eec1e9f4520b6c30ee5fa8ad0197da33e36482a4a41e1a8452d80fe35a29a
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