Text Ranking
Transformers
PyTorch
Safetensors
French
camembert
text-classification
Text
Sentence Similarity
Sentence-Embedding
camembert-base
Eval Results (legacy)
text-embeddings-inference
Instructions to use dangvantuan/CrossEncoder-camembert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dangvantuan/CrossEncoder-camembert-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dangvantuan/CrossEncoder-camembert-large") model = AutoModelForSequenceClassification.from_pretrained("dangvantuan/CrossEncoder-camembert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dangvantuan/CrossEncoder-camembert-large: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/dangvantuan/CrossEncoder-camembert-large/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://dangvantuan/CrossEncoder-camembert-large@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dangvantuan/CrossEncoder-camembert-large/resolve/refs%2Fpr%2F1/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.