Sentence Similarity
sentence-transformers
Safetensors
French
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use crazyjeannot/fr_literary_bge_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use crazyjeannot/fr_literary_bge_base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("crazyjeannot/fr_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
Download optimizer.pt from crazyjeannot/fr_literary_bge_base: direct link, hf CLI and curl.
- Browser
- Download file 4.53 GB
-
https://huggingface.co/crazyjeannot/fr_literary_bge_base/resolve/main/optimizer.pt
- Command line
-
hf download hf://crazyjeannot/fr_literary_bge_base/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/crazyjeannot/fr_literary_bge_base/resolve/main/optimizer.pt
4.53 GB
- Xet hash:
- f3d962cc622ea082093ed27f3e764c00d53d00d45da2323b913a828895982ade
- Size of remote file:
- 4.53 GB
- SHA256:
- c2890d88fdbaf691c33d4079518a9a6ae010736c558d763c3830e1dea3a9f235
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