Duplicated from Lajavaness/sentence-camembert-base
How to use LucasF/sentence-camembert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LucasF/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]
https://huggingface.co/LucasF/sentence-camembert-base/resolve/main/tokenizer.json
hf download hf://LucasF/sentence-camembert-base/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/LucasF/sentence-camembert-base/resolve/main/tokenizer.json
