Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
English
bert
text-embeddings-inference
Instructions to use guyhadad01/EncodeRec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use guyhadad01/EncodeRec with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("guyhadad01/EncodeRec") 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:
- 34d1e36e06b41d0a5278f29c78005de21120476155c885c6d7f72f6d9aa0bc7f
- Size of remote file:
- 1.06 kB
- SHA256:
- df25f25a96e4c735541738d3bda1505ccc91c4ea2bb1e15e5319dd7b86ce90b3
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