Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
Rust
ONNX
Safetensors
OpenVINO
multilingual
distilbert
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/distiluse-base-multilingual-cased 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 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/distiluse-base-multilingual-cased") 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
Commit ·
1d1aeaa
1
Parent(s): a8e5f37
Addition of Rust weights
Browse files- 2_Dense/rust_model.ot +3 -0
- rust_model.ot +3 -0
2_Dense/rust_model.ot
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version https://git-lfs.github.com/spec/v1
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rust_model.ot
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oid sha256:472d8cf60e85ba9882ad00eec078e0169066ba4dbbc739009ff7cc84803df30b
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