Feature Extraction
sentence-transformers
Safetensors
bert
retrieval
devdata-search
text-embeddings-inference
Instructions to use ai4data/devdata-search-multilingual-e5-small-cmnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ai4data/devdata-search-multilingual-e5-small-cmnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ai4data/devdata-search-multilingual-e5-small-cmnrl") 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
- Xet hash:
- 952174f03b93ed9e19ea539a90be89b05116b6d8fb83abaaaa47f61528df688d
- Size of remote file:
- 17.1 MB
- SHA256:
- fbcc3c7348739d765de2c86fce14c9c5e2dd47696dbb3cfeed294edfc712d8f0
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