Sentence Similarity
sentence-transformers
Safetensors
Russian
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use deepvk/USER-bge-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use deepvk/USER-bge-m3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("deepvk/USER-bge-m3") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Tokenizer fix (#1)
Verified signature- Tokenizer fix (2bc192c0384d35cb1821ba2f14f8d33f7135f02f) Co-authored-by: Boris Malashenko <TatonkaHF@users.noreply.huggingface.co>7452992
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Add new SentenceTransformer model.
Verified signature25f029f