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
Update README.md
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README.md
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# Download from the 🤗 Hub
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model = FlagModel('crazyjeannot/literary_bge_base',
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query_instruction_for_retrieval="
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use_fp16=True)
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# Run inference
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# Download from the 🤗 Hub
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model = FlagModel('crazyjeannot/literary_bge_base',
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query_instruction_for_retrieval="",
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use_fp16=True)
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# Run inference
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