Text Classification
Transformers
Safetensors
Chinese
bert
ai-generated-text-detection
chinese
binary-classification
thesis
academic
Eval Results (legacy)
Instructions to use AnxForever/chinese-ai-detector-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnxForever/chinese-ai-detector-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnxForever/chinese-ai-detector-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnxForever/chinese-ai-detector-bert") model = AutoModelForSequenceClassification.from_pretrained("AnxForever/chinese-ai-detector-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upgrade to v11c boundary-fix (three-set avg 98.56%, independent eval 98.57%, validation 98.75%)
dfd7f4b verified - Xet hash:
- 6b74243824d19b7a534c9d0ed9e25c30510267481456fa35800ffb98c05bff86
- Size of remote file:
- 409 MB
- SHA256:
- 89c512a30b6850ffaac744a16e9a8146ef4ea0ddea9b30be5714b66ccbb5912d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.