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:
- 74f31967e71fe88b9724f503c32cac036c591f0aba9cd45b8376c1832799ff54
- Size of remote file:
- 537 MB
- SHA256:
- 28b6aa159f1fa72f242a5e11dc25b38d4e3289cd5e86a6fa5f8a9a855e47ae27
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