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
Update config.json
Browse files- config.json +2 -1
config.json
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"transformers_version": "4.44.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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"transformers_version": "4.44.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002,
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"license": "other"
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}
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