Feature Extraction
sentence-transformers
Safetensors
modernbert
retrieval
devdata-search
text-embeddings-inference
Instructions to use ai4data/devdata-search-granite-97m-multilingual-cmnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ai4data/devdata-search-granite-97m-multilingual-cmnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ai4data/devdata-search-granite-97m-multilingual-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:
- 5ea3e14d2421853ab5ef3c764c916a44ab82901ba989d42a0c3bcdd7f87d26d3
- Size of remote file:
- 25.3 MB
- SHA256:
- df82a441eb293660b0d1f44303bed3abe8ca33a13866eab0ce37451adcc767ff
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