Text Classification
Transformers
PyTorch
English
roberta
generated_text_detection
llm_content_detection
AI_detection
Instructions to use SuperAnnotate/roberta-large-llm-content-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SuperAnnotate/roberta-large-llm-content-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SuperAnnotate/roberta-large-llm-content-detector")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SuperAnnotate/roberta-large-llm-content-detector", dtype="auto") - Notebooks
- Google Colab
- Kaggle
are you still working in tech for detecting AI content?
#2 opened about 1 year ago
by
Pablonm
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot