Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
ONNX
Safetensors
OpenVINO
distilbert
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/distiluse-base-multilingual-cased-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/distiluse-base-multilingual-cased-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/distiluse-base-multilingual-cased-v2") 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
Update README.md
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README.md
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pipeline_tag: sentence-similarity
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license: apache-2.0
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tags:
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- sentence-transformers
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---
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pipeline_tag: sentence-similarity
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language: multilingual
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license: apache-2.0
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tags:
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- sentence-transformers
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