Text Classification
Transformers
Safetensors
English
gpt2
ai-text-detection
binary-classification
variable-position-readout
Instructions to use rasbt/ai-text-detector-gpt2-variable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasbt/ai-text-detector-gpt2-variable with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasbt/ai-text-detector-gpt2-variable")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rasbt/ai-text-detector-gpt2-variable") model = AutoModelForSequenceClassification.from_pretrained("rasbt/ai-text-detector-gpt2-variable", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from rasbt/ai-text-detector-gpt2-variable: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/rasbt/ai-text-detector-gpt2-variable/resolve/main/tokenizer.json
- Command line
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hf download hf://rasbt/ai-text-detector-gpt2-variable/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/rasbt/ai-text-detector-gpt2-variable/resolve/main/tokenizer.json
3.56 MB
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