Text Classification
Transformers
PyTorch
Safetensors
French
deberta-v2
lm-detection
Eval Results (legacy)
text-embeddings-inference
Instructions to use almanach/camemberta-chatgptdetect-noisy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/camemberta-chatgptdetect-noisy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="almanach/camemberta-chatgptdetect-noisy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("almanach/camemberta-chatgptdetect-noisy") model = AutoModelForSequenceClassification.from_pretrained("almanach/camemberta-chatgptdetect-noisy") - Notebooks
- Google Colab
- Kaggle
| { | |
| "[PAD]": 32002, | |
| "[UNK]": 32001 | |
| } | |