Instructions to use sentence-transformers/gtr-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/gtr-t5-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/gtr-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:
- 1acf9e55bbed8fca2048259ce89acef5febd9dad3c4a429f1c2f6eb30019fbe7
- Size of remote file:
- 219 MB
- SHA256:
- fd78a39e92ec5e96213ad3284d95360ba13c020bbda0841479b369612b19964c
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