Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
ror
affiliations
entity-linking
retrieval
text-embeddings-inference
Instructions to use adambuttrick/ror-set-point-retriever-e5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use adambuttrick/ror-set-point-retriever-e5-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("adambuttrick/ror-set-point-retriever-e5-base") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Release the retriever trained with --strict, with its search and card
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Align file formats, set names and card with the training code
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4 days ago
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Add the model, its training rows and its outputs
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