---
license: cc-by-4.0
---
# MarkupLM-Phish

The [MarkupLM]('https://huggingface.co/docs/transformers/v4.39.1/model_doc/markuplm') base model fine-tuned for phish classification!

## Example Pipeline
```python
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}]
```