Instructions to use raphaelsty/model-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use raphaelsty/model-test with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("raphaelsty/model-test") 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:
- 3884567c5782d7a3770a0e7c8ecce567d0c4951e6d7b60b44a97ead55d550524
- Size of remote file:
- 131 MB
- SHA256:
- 886e3a1638af8222613a8b3baf73520d5ab8c8275fc5ea16e3166982d01df24e
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