Text Classification
Transformers
PyTorch
Safetensors
English
roberta
mgt-detection
ai-detection
text-embeddings-inference
Instructions to use andreas122001/roberta-wiki-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreas122001/roberta-wiki-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreas122001/roberta-wiki-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreas122001/roberta-wiki-detector") model = AutoModelForSequenceClassification.from_pretrained("andreas122001/roberta-wiki-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d28b0cc1cd6b4d908674d8f1387cf72c7b48a0e4ea6e12db4f51c0597992a5dd
- Size of remote file:
- 499 MB
- SHA256:
- 149770c2c20e9c68fc91076f4c54d71bbb4483287408f1513a749d00dd140142
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