Text Classification
Transformers
PyTorch
Safetensors
English
roberta
mgt-detection
ai-detection
text-embeddings-inference
Instructions to use andreas122001/roberta-academic-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreas122001/roberta-academic-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreas122001/roberta-academic-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreas122001/roberta-academic-detector") model = AutoModelForSequenceClassification.from_pretrained("andreas122001/roberta-academic-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80fe92b337731876225d215873a6707dab482d535e212aa604250accec599d7e
- Size of remote file:
- 627 Bytes
- SHA256:
- 19c575370b6179b490f435df9c74d0ea7aabd16f264cf932690c39af9fca6ebb
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