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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "pretrain_checkpoint": "FacebookAI/roberta-large", | |
| "classifier_dropout": 0.1, | |
| "num_labels": 1, | |
| "id2label": { | |
| "0": "GENERATED" | |
| }, | |
| "label2id": { | |
| "GENERATED": 0 | |
| }, | |
| "label_smoothing": 0.1, | |
| "transformers_version": "4.35.2" | |
| } |