Instructions to use ampixa/mitra-detector-d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ampixa/mitra-detector-d3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ampixa/mitra-detector-d3")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ampixa/mitra-detector-d3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Access is reviewed by hand and granted for research only.
This artifact belongs to a research system that rewrites LLM-written text in the style of named human writers, so that AI-text detectors may judge it human. Access is granted for research on AI-text detection, robustness of detectors, and style transfer. By requesting access you agree (1) not to present text produced with it as human-written work (academic, journalistic, commercial or any other setting), (2) not to impersonate the writers whose styles it imitates or any other person, (3) not to use it to deceive readers or detection systems outside a research evaluation, and (4) not to redistribute it.
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