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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 765f98abf95289cee0a3d8dca223135621a60ece6bb6b9b7c11c5e71290850b8
- Size of remote file:
- 499 MB
- SHA256:
- 65884bbeebba335c082512dee4b475947b08d83317a3c95f38550b5c85d0ef81
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