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huolongguo10/check_sec_tiny
check_sec_tiny is a text classification model from huolongguo10. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as openrail.
Downloads · 30 days
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3% of all-time downloads
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From the Hugging Face model README
检查web参数安全性,支持多种payload(v0.2.0-tiny)
LABEL_0: secure
LABEL_1: insecure(可能包含payload)
import transformers
from transformers import BertTokenizer, DataCollatorWithPadding
from transformers import AutoModelForSequenceClassification
tokenizer = BertTokenizer.from_pretrained('huolongguo10/check_sec_tiny')
model = AutoModelForSequenceClassification.from_pretrained('huolongguo10/check_sec_tiny', num_labels=2)
import torch
def check(text):
inputs = tokenizer(text, return_tensors="pt")
with torch.no_grad():
logits = model(**inputs).logits
predicted_class_id = logits.argmax().item()
print(f'{logits.argmax().item()}:{text}')
return 'secure' if predicted_class_id==0 else 'insecure'