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:
- a435f6b16d0c3354bdb6df63236b5ade0c2a63db7b1759ac517e3d97c2190f59
- Size of remote file:
- 2.6 GB
- SHA256:
- 9a3f3fd9c43d86f92cf7016d8b41eb9f3b60e975ee03f29c5dab1b8d347240c5
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