Sentence Similarity
sentence-transformers
Safetensors
French
bert
feature-extraction
text-embeddings-inference
Instructions to use crazyjeannot/literary_bge_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use crazyjeannot/literary_bge_base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("crazyjeannot/literary_bge_base") 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:
- 933d2f7749e4d71666ba5d42611fa58aeb37d5331b7cdba0bce6252f4da17486
- Size of remote file:
- 5.3 kB
- SHA256:
- 821091129660e331b5e9290e0f1e29183ca11670f5b35d0b75b8777e17556111
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