Text Classification
Transformers
Safetensors
English
modernbert
ai-text-detection
machine-generated-text-detection
ettin
text-embeddings-inference
Instructions to use empirischtech/paratrace-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use empirischtech/paratrace-v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="empirischtech/paratrace-v7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("empirischtech/paratrace-v7") model = AutoModelForSequenceClassification.from_pretrained("empirischtech/paratrace-v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Request access to ParaTrace v7
Requests are reviewed by hand.
ParaTrace v7 is released for non-commercial research and evaluation under CC BY-NC-SA 4.0. Its verdicts are evidence, not proof: it flags some human writing and misses some AI text, so it must not be the only basis for a decision about a person.
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