Instructions to use rbw/ColBERT-Zero-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rbw/ColBERT-Zero-onnx with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rbw/ColBERT-Zero-onnx") 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:
- f5946ae7bea50459bee7bca1318663e085b83708bf8e08395aeaa182c423a5b4
- Size of remote file:
- 597 MB
- SHA256:
- 08c58e390154941b1c856d1a417ebf67e5846e2e44b7fe48b71ce56d22bd9144
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