Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
camembert
passage-retrieval
Eval Results (legacy)
text-embeddings-inference
Instructions to use antoinelouis/biencoder-distilcamembert-mmarcoFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use antoinelouis/biencoder-distilcamembert-mmarcoFR with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("antoinelouis/biencoder-distilcamembert-mmarcoFR") 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:
- 6a4c58cacdf576e7054aed5b80315fea2935435e7eb85b284d9fc7f2839ac080
- Size of remote file:
- 272 MB
- SHA256:
- c52e9f3d607c4a3ec5cc02fbfeeb1a3bb5af811e8d541f99f90d11640b3cae92
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