Feature Extraction
sentence-transformers
ONNX
Safetensors
English
bert
embedding
retrieval
hybrid-search
self-supervised
fine-tuned
BEIR
information-retrieval
Eval Results (legacy)
text-embeddings-inference
Instructions to use Stffens/bge-small-rrf-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Stffens/bge-small-rrf-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Stffens/bge-small-rrf-v2") 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
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