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:
- c15a7afe5466da5c6b450c6d5e13054d0a61090d973299ebfcaad6157a2d20b2
- Size of remote file:
- 3.45 kB
- SHA256:
- 98c6cee71f7c1b5b03381212ea1fc14009e2878981494b27a11da611e97389bd
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