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certainstar
/
Trained-Chinese-classification

Text Classification
Transformers
Safetensors
Chinese
bert
Model card Files
xet
 Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="certainstar/Trained-Chinese-classification")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("certainstar/Trained-Chinese-classification")
model = AutoModelForSequenceClassification.from_pretrained("certainstar/Trained-Chinese-classification")
Quick Links
  • 本模型采取 HC3的中文数据集 对 bert-base-chinese 模型进行三轮训练得到结果。
  • 其作用是对文本是否为 GPT 生成进行分类，所得 Label 为0，则不为 GPT 生成，反之为1，则是。
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Model size
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Tensor type
F32
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Dataset used to train certainstar/Trained-Chinese-classification