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:
- e1896f1c87dbdec7ca653818f5010cebe96dc225c69d6b741317b2db390ffcbd
- Size of remote file:
- 5.56 kB
- SHA256:
- 6fff70b6f1e4863ea80efbdd3030d9dd2b5fc82ab59547db2165691e8a1c93fc
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