Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
flaubert
Text
Sentence Similarity
Sentence-Embedding
camembert-base
Eval Results (legacy)
Instructions to use Lajavaness/sentence-flaubert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Lajavaness/sentence-flaubert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Lajavaness/sentence-flaubert-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:
- 0248455d2188547f1c85b7185a8efc45296be4c95f1dffc2d3a8212c85b1b203
- Size of remote file:
- 549 MB
- SHA256:
- 0d457176b68bf773fa5260c22dfb1b8f72a0fef662b072dba891705942ad4166
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