Feature Extraction
sentence-transformers
Safetensors
bert
Sentence Transformers
sentence-similarity
text-embeddings-inference
Instructions to use Avditvs/multilingual-e5-small-distill-base-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Avditvs/multilingual-e5-small-distill-base-0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Avditvs/multilingual-e5-small-distill-base-0.1") 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] - Notebooks
- Google Colab
- Kaggle
Commit History
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Update tokenizer config
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Update transformers version
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Update tokenizer config
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Remove unnecessary config
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Add github repo link
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Add sentence-similarity tag
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Update README.md
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Add first version of large -> small distilled model
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initial commit
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