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:
- 49328c513f48b3313ac15962ab1487f68b09399a6d4edbf4aa264b655f452d96
- Size of remote file:
- 5.56 kB
- SHA256:
- 6c6646a21e44808e01dce45e09fa7fbd1fffd2b29b00d00306ba050ea82ef5a2
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