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:
- 76a3627611d576e82731da05b104f941085fd43960683632d5f95d8927f55cf7
- Size of remote file:
- 3.45 kB
- SHA256:
- 4abcbcb0e793c20ba879c1c33344ec0286718691f8480e70240e684b2ecc0883
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