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 Lajavaness/CrossEncoder-camembert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lajavaness/CrossEncoder-camembert-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lajavaness/CrossEncoder-camembert-large") model = AutoModelForSequenceClassification.from_pretrained("Lajavaness/CrossEncoder-camembert-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8d2444f322a1d0a84e87f5ca2ec531bd260d41b98be1818f569804e0f3edc25
- Size of remote file:
- 1.35 GB
- SHA256:
- 38aa645ebdedf0f53a4e5dadc67098a0f4adda077cec193c5c288e6e1e6b3cbe
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