Text Classification
Transformers
Safetensors
English
modernbert
ai-text-detection
machine-generated-text-detection
raid
ettin
text-embeddings-inference
Instructions to use empirischtech/paratrace-v8-raid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use empirischtech/paratrace-v8-raid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="empirischtech/paratrace-v8-raid")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("empirischtech/paratrace-v8-raid") model = AutoModelForSequenceClassification.from_pretrained("empirischtech/paratrace-v8-raid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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ParaTrace v8 (RAID-tuned) is a benchmark model for research on RAID. Outside RAID it misses much of the AI text and flags human writing, so it must not be used to decide whether a person used AI. It is licensed CC BY-NC-SA 4.0 (non-commercial).
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