Instructions to use embaas/sentence-transformers-gte-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use embaas/sentence-transformers-gte-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("embaas/sentence-transformers-gte-small") 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 embaas/sentence-transformers-gte-small: direct link, hf CLI and curl.
- Browser
- Download file 66.8 MB
-
https://huggingface.co/embaas/sentence-transformers-gte-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://embaas/sentence-transformers-gte-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/embaas/sentence-transformers-gte-small/resolve/main/pytorch_model.bin
66.8 MB
- Xet hash:
- 5c433d1c484f4af90f3bcbc44235bb73bddbe8970f576682ccbdd59467c1d034
- Size of remote file:
- 66.8 MB
- SHA256:
- 50fb16d24e6cc3ebe453782759f65125047c6b5335a497df7795e60d694edbfe
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