Instructions to use lemon-mint/sentence-umt5-base-untrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lemon-mint/sentence-umt5-base-untrained with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lemon-mint/sentence-umt5-base-untrained") 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:
- 07f3b3450a4c25fa40428e4f3bf24b568a6801d7d63bb20bd20d83b2b4d1bc1c
- Size of remote file:
- 4.55 MB
- SHA256:
- e3909a67b780650b35cf529ac782ad2b6b26e6d1f849d3fbb6a872905f452458
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