Instructions to use sentence-transformers/sentence-t5-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/sentence-t5-xxl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/sentence-t5-xxl") 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] - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sentence-transformers/sentence-t5-xxl: direct link, hf CLI and curl.
- Browser
- Download file 9.73 GB
-
https://huggingface.co/sentence-transformers/sentence-t5-xxl/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sentence-transformers/sentence-t5-xxl/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sentence-transformers/sentence-t5-xxl/resolve/main/pytorch_model.bin
9.73 GB
- Xet hash:
- 9377854813a6c5630205673e0702baf147a1d384a841d593f491e781a8f7c5cb
- Size of remote file:
- 9.73 GB
- SHA256:
- fc73ed70fbb704fa901846c34169c2e31d8cc4d9dbcfaa29f668df164a5d0e0a
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