Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
Rust
Safetensors
English
bert
feature-extraction
text-embeddings-inference
Instructions to use Kapiche/all-MiniLM-L6-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Kapiche/all-MiniLM-L6-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Kapiche/all-MiniLM-L6-v2") 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
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (a4a5c48d8fc1a41e1184c8de97e591d4463296a8)338353f
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Fix metadata error (#4)
- Fix metadata error (9ae41edd0d659c1785362352d73892fa1ddc4a39) Co-authored-by: Pedro Freire <pfr@users.noreply.huggingface.co>7dbbc90 -
Rust weights addition (#5)
- Addition of Rust weights (8924c147a1cc9314e06ac316e36eb4512a367d17) Co-authored-by: Guillaume Becquin <guillaume-be@users.noreply.huggingface.co>c21050a
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adding training dataset
717413c
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add training dataset
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Update README.md
6123922
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adding training datasets
1f04b00
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Add TF weights
Joao Gante3746fd5
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up
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upload
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initial commit
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