Instructions to use embaas/sentence-transformers-gte-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use embaas/sentence-transformers-gte-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("embaas/sentence-transformers-gte-large") 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
- Xet hash:
- 7dcc614c0b1116dbb3d43a39c92aa504f525d68dbca384ac1bf524733c04839b
- Size of remote file:
- 670 MB
- SHA256:
- 109faead11ce85153e1d9d4fc6a651879bd1d53ea9e38cd695eb817150cff5ef
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