sentence-transformers
Safetensors
xlm-roberta
embeddings
multilingual
NLP
Indic-languages
semantic-search
similarity
Instructions to use krutrim-ai-labs/Vyakyarth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use krutrim-ai-labs/Vyakyarth with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("krutrim-ai-labs/Vyakyarth") 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:
- 8d94d3ce17be0f8c9540ce715b323b3bbbcd37b1c4f472dcacb2ca79ceec5b91
- Size of remote file:
- 17.1 MB
- SHA256:
- 6c2ccb33b55c4d157419a2105d6e033f7514c2baa6306471c56b86ab02787613
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