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:
- 4c340b3479d24a898c1ea76f9494f8c1603cd607a85c862cfefa08d0775a0c9f
- Size of remote file:
- 3.45 kB
- SHA256:
- 8c3e7a9d6c2c726d8a736284261a68e49532bbf68d6d2f70b83f862c50a42565
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