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:
- 7736e8a270ac1fb5703b0e0693258834d99c075cb0077b5b18367f2022ed3b03
- Size of remote file:
- 90.9 MB
- SHA256:
- 2514f1581b5b9bd9fa9821cba7f6f7b62f878d4ddfd7576926f1704f6c1e95af
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