Text Classification
Transformers
PyTorch
Safetensors
English
roberta
mgt-detection
ai-detection
text-embeddings-inference
Instructions to use andreas122001/roberta-mixed-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreas122001/roberta-mixed-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreas122001/roberta-mixed-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreas122001/roberta-mixed-detector") model = AutoModelForSequenceClassification.from_pretrained("andreas122001/roberta-mixed-detector") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2261369093ab41e73a91840d014281fc9bb04280c4696cbd4b8d15ddc96b08e
- Size of remote file:
- 499 MB
- SHA256:
- a94408816e2faf7b0b29e73b6a60739826a6792e5b5b854e6e79ea77efc89f25
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