Feature Extraction
sentence-transformers
Safetensors
English
bert
sentence-similarity
retrieval
tool-use
llm-agent
r-language
text-embeddings-inference
Instructions to use Stephen-SMJ/DARE-R-Retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Stephen-SMJ/DARE-R-Retriever with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Stephen-SMJ/DARE-R-Retriever") 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:
- 29b7e1b4d3c611e5cdb128cbe003929046167d786d0085b1e4211c45d2a97c88
- Size of remote file:
- 90.9 MB
- SHA256:
- 001d6a39af121d63c05e876e835434040f9512b1d476c4d364be45293665f01b
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