Sentence Similarity
sentence-transformers
Safetensors
French
camembert
Eval Results (legacy)
text-embeddings-inference
Instructions to use CATIE-AQ/camembert-base-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use CATIE-AQ/camembert-base-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CATIE-AQ/camembert-base-embedding") 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 tokenizer.json from CATIE-AQ/camembert-base-embedding: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/CATIE-AQ/camembert-base-embedding/resolve/main/tokenizer.json
- Command line
-
hf download hf://CATIE-AQ/camembert-base-embedding/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CATIE-AQ/camembert-base-embedding/resolve/main/tokenizer.json
2.42 MB
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