Sentence Similarity
sentence-transformers
PyTorch
French
camembert
Text
Sentence Similarity
Sentence-Embedding
camembert-base
Eval Results (legacy)
text-embeddings-inference
Instructions to use LucasF/sentence-camembert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LucasF/sentence-camembert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LucasF/sentence-camembert-base") sentences = [ "C'est une personne heureuse", "C'est un chien heureux", "C'est une personne très heureuse", "Aujourd'hui est une journée ensoleillée" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a92d3720031b64a18ac6bd1403176848700e0cc23727a48eae2178aa94af5eb
- Size of remote file:
- 443 MB
- SHA256:
- 4393450effe32ccc644bc82e5be67eb15cf2a8183a315633bcbabb73a47a46ea
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