Instructions to use sentence-transformers/sentence-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/sentence-t5-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/sentence-t5-base") 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:
- 242c7984c6d4d5409b6db904ed79e624977cf00f43cfca1806dc4f4ed27ca9d7
- Size of remote file:
- 219 MB
- SHA256:
- 3b91bd3ded13728f29297a9f2ee2a809acd211f52271a857488e491c4c345208
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