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
Newer GPT version detection
๐ฅ 1
1
#16 opened over 2 years ago
by
Dan-M
what does each LABEL represents?
1
#15 opened over 2 years ago
by
WYHu
Could not load model roberta-base-openai-detector
#14 opened almost 3 years ago
by
HEYO1456
How to run this?
3
#13 opened about 3 years ago
by
zokica
Documentation required for parameters of the Inference API
5
#9 opened over 3 years ago
by
raihankhan
๐ฉ Report : Ethical issue(s)
๐ 3
1
#5 opened over 3 years ago
by
francisj
how to use this?
#3 opened over 3 years ago
by
mian810