Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
JAX
ONNX
Safetensors
bert
feature-extraction
Eval Results
text-embeddings-inference
Instructions to use sentence-transformers/LaBSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/LaBSE with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/LaBSE") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Inference
- Notebooks
- Google Colab
- Kaggle
Add evaluation results for model sentence-transformers/LaBSE revision e34fab64a3011d2176c99545a93d5cbddc9a91b7
#24 opened 3 months ago
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Samoed
📋 Documentation Enhancement Suggestion
#23 opened 3 months ago
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CroviaTrust
📋 Documentation Enhancement Suggestion
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CroviaTrust
📋 Documentation Enhancement Suggestion
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CroviaTrust
📋 Documentation Enhancement Suggestion
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CroviaTrust
📋 Documentation Enhancement Suggestion
#19 opened 3 months ago
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CroviaTrust
Add new SentenceTransformer model with an openvino backend
#18 opened 9 months ago
by
santhosh
Upload 3 files
#11 opened over 1 year ago
by
Krazybeautiful85
Supported languages
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#2 opened over 3 years ago
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grofte
LabSE training error
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#1 opened almost 4 years ago
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ryjovsky