Instructions to use tamikisg/multilingual-e5-small-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tamikisg/multilingual-e5-small-coreml with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tamikisg/multilingual-e5-small-coreml") 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
Download MultilingualE5Small.mlpackage.zip from tamikisg/multilingual-e5-small-coreml: direct link, hf CLI and curl.
- Browser
- Download file 216 MB
-
https://huggingface.co/tamikisg/multilingual-e5-small-coreml/resolve/main/MultilingualE5Small.mlpackage.zip
- Command line
-
hf download hf://tamikisg/multilingual-e5-small-coreml/MultilingualE5Small.mlpackage.zip
-
curl -L -o MultilingualE5Small.mlpackage.zip https://huggingface.co/tamikisg/multilingual-e5-small-coreml/resolve/main/MultilingualE5Small.mlpackage.zip
216 MB
- Xet hash:
- c44d82d4dbbf75f344b737f1aea97bb2b663d91211fffbcf0bc15b17a2eac350
- Size of remote file:
- 216 MB
- SHA256:
- f339314e01c7206505b54164b5479ff737bd03e299e199cf2a7a7b57dbd8d043
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