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
I think this one's actually great !
#2
by Tonic - opened
So i stumbled no this one, seems like most ai detection uses algorythms , right ? anyways i think this is a fantastic use of the classifier, and i used it immediately on a readme that i generated.
i do that + i think everyone does. And you can tell when you read these readmes , right ?
So i have a fun project i was actually going to use this model for : written by ai / not written by ai badge ... since it's your model and could be quick and fun, it might be interesting to join together if you're not busy with finals :-)
@not-lain what do you think about this ? could be cool ? classifiers + badges :-)