Text Classification
Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
roberta
exbert
text-embeddings-inference
Instructions to use openai-community/roberta-base-openai-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai-community/roberta-base-openai-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="openai-community/roberta-base-openai-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("openai-community/roberta-base-openai-detector") model = AutoModelForSequenceClassification.from_pretrained("openai-community/roberta-base-openai-detector") - Inference
- Notebooks
- Google Colab
- Kaggle
π© Report : Ethical issue(s)
#5
by francisj - opened
This model is being widely shared by teachers & professors as a way to detect ChatGPT/GPT-3 outputs. It is demonstrably not a reliable tool for this use case. I suggest it is either taken down or a very clear warning posted that it is not usable as a ChatGPT detector, for the purposes of making grave allegations of academic misconduct against undergraduates and others.
I think adding a very clear warning that it is not usable as a ChatGPT detector is a good idea, do you want to open a PR to add this to the model card?