Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
deberta-v2
passage-retrieval
Eval Results (legacy)
text-embeddings-inference
Instructions to use antoinelouis/biencoder-camemberta-base-mmarcoFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use antoinelouis/biencoder-camemberta-base-mmarcoFR with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("antoinelouis/biencoder-camemberta-base-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
Download pytorch_model.bin from antoinelouis/biencoder-camemberta-base-mmarcoFR: direct link, hf CLI and curl.
- Browser
- Download file 447 MB
-
https://huggingface.co/antoinelouis/biencoder-camemberta-base-mmarcoFR/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://antoinelouis/biencoder-camemberta-base-mmarcoFR/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/antoinelouis/biencoder-camemberta-base-mmarcoFR/resolve/main/pytorch_model.bin
447 MB
- Xet hash:
- ffb3964c61bd344e41a6742f0fcc4f093aad08c1c3eebeb745f56f1f448947af
- Size of remote file:
- 447 MB
- SHA256:
- fb35b6be9007d398f6a8a5aed25f507573bf6561dd0730bb855a049a5dcb9bbb
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