Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
camembert
Text
Sentence Similarity
Sentence-Embedding
camembert-base
Eval Results (legacy)
text-embeddings-inference
Instructions to use dangvantuan/sentence-camembert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dangvantuan/sentence-camembert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dangvantuan/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] - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dangvantuan/sentence-camembert-base: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/dangvantuan/sentence-camembert-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dangvantuan/sentence-camembert-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dangvantuan/sentence-camembert-base/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- aec1cf968dccdf7bd2495bf332cd7b30cf5d5e69963b01cc61263e3295dc2c32
- Size of remote file:
- 443 MB
- SHA256:
- 43f2609a737e3e504891812b97e37b5c2c758cc3d14ee4c34cc28a66cf12fb88
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