Instructions to use tejadabheja/gyan-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tejadabheja/gyan-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tejadabheja/gyan-model") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7082ba74c18becb61bf6690b5a452ccca670319d7accfdc581beaf1ef4f66916
- Size of remote file:
- 569 MB
- SHA256:
- 1aaba7d30ffedde44bc7c8af4847ef868952a0a217b4323e256ba8cb5db2da88
路
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