metadata

license: cc-by-4.0

MarkupLM-Phish

The MarkupLM base model fine-tuned for phish classification!

Example Pipeline

import requests
from transformers import AutoProcessor, pipeline

phish_processor = AutoProcessor.from_pretrained(
    "pogzyb/markuplm-phish", trust_remote_code=True
)
phish_pipeline = pipeline(
    "text-classification",
    model="pogzyb/markuplm-phish",
    tokenizer=phish_processor,
    max_length=512,
    padding="max_length",
    truncation=True,
)
html_string = requests.get("https://huggingface.co").text
phish_pipeline(html_string)

[{'label': 'negative', 'score': 0.9991624355316162}]