Instructions to use jncraton/gte-small-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jncraton/gte-small-ct2-int8 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jncraton/gte-small-ct2-int8") 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:
- 27e956e1cb58da4d4542c541ef32b1f350366325133379e521bcd0239ee46e23
- Size of remote file:
- 34.4 MB
- SHA256:
- 653040f025fad4c4127dde5fcdd108065c0aff64877c422dadd6cec6e2110c63
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