Instructions to use sentence-transformers/sentence-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/sentence-t5-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/sentence-t5-large") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a3aa019b1ee05912cb021388edcccdcf41291de36e2621a23110806e974a65b
- Size of remote file:
- 670 MB
- SHA256:
- 2def386bbfbe9b21b9b542730cf75d7136664252ed053fe77f6592a40b33df21
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