Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
Safetensors
French
camembert
Text
Sentence Similarity
Sentence-Embedding
camembert-large
Eval Results (legacy)
Instructions to use dangvantuan/sentence-camembert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dangvantuan/sentence-camembert-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dangvantuan/sentence-camembert-large") 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 tokenizer_config.json from dangvantuan/sentence-camembert-large: direct link, hf CLI and curl.
- Browser
- Download file 400 Bytes
-
https://huggingface.co/dangvantuan/sentence-camembert-large/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://dangvantuan/sentence-camembert-large/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/dangvantuan/sentence-camembert-large/resolve/main/tokenizer_config.json
400 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "additional_special_tokens": ["<s>NOTUSED", "</s>NOTUSED"], "special_tokens_map_file": null, "name_or_path": "camembert/camembert-large"} |