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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dangvantuan/CrossEncoder-camembert-large") model = AutoModelForSequenceClassification.from_pretrained("dangvantuan/CrossEncoder-camembert-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c01b65d910f14344a7ed0b08d7da99d7abc6b6ab32672df42fcf97fc168ed4b
- Size of remote file:
- 1.35 GB
- SHA256:
- b6c9a98b5fa4f6e29b887c9a8288c2e9159a8210ba52a1d4a3fb9cf1b313b732
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