Text Classification
Transformers
PyTorch
Safetensors
English
roberta
mgt-detection
ai-detection
text-embeddings-inference
Instructions to use andreas122001/roberta-wiki-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreas122001/roberta-wiki-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreas122001/roberta-wiki-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreas122001/roberta-wiki-detector") model = AutoModelForSequenceClassification.from_pretrained("andreas122001/roberta-wiki-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -185,7 +185,7 @@ Please use the following citation:
|
|
| 185 |
@misc {sivesind_2023,
|
| 186 |
author = { {Nicolai Thorer Sivesind} and {Andreas Bentzen Winje} },
|
| 187 |
title = { Machine-generated text-detection by fine-tuning of language models },
|
| 188 |
-
url = { https://huggingface.co/andreas122001/roberta-academic-detector }
|
| 189 |
year = 2023,
|
| 190 |
publisher = { Hugging Face }
|
| 191 |
}
|
|
|
|
| 185 |
@misc {sivesind_2023,
|
| 186 |
author = { {Nicolai Thorer Sivesind} and {Andreas Bentzen Winje} },
|
| 187 |
title = { Machine-generated text-detection by fine-tuning of language models },
|
| 188 |
+
url = { https://huggingface.co/andreas122001/roberta-academic-detector },
|
| 189 |
year = 2023,
|
| 190 |
publisher = { Hugging Face }
|
| 191 |
}
|