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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60e5125aa528344f0a87c16cb8d770d3aa79139fbbe9a73093312ae5d9500501
- Size of remote file:
- 809 kB
- SHA256:
- f98f266fdc548c94216aaadc13ffaaafacf0c8793303e2195322d954549ea261
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