Instructions to use Matjac5/document_encoder_07_06old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Matjac5/document_encoder_07_06old with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Matjac5/document_encoder_07_06old") 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:
- 8237be03d762c9f2bccfacd824ec73252cb17376c538ff04f73567dfb5ed44fa
- Size of remote file:
- 307 MB
- SHA256:
- 1b0a7e33711f281224f6b77124ff32a374b4e8f90747b1f5eca43e52c849e65b
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