Instructions to use antoinelouis/dpr-xm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use antoinelouis/dpr-xm with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("antoinelouis/dpr-xm") 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:
- 2b8ba6213ba5e3bd2b059270eb677eb579f8a92fe53003d09b166f4c4ec8ec5e
- Size of remote file:
- 3.41 GB
- SHA256:
- 6a896e10af8e2d4101956f55a4ff3b41a1fc11740fb9c0afc8acc3b0e4c3b936
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