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
Ctrl+K