Model Card for Mrigendra100/XpathGenerator
Model Details
- Model Name: Mrigendra100/XpathGenerator
- Base Model: EleutherAI/gpt-neo-1.3B
- Task: Text generation (specifically for generating XPath expressions from HTML)
Library
- Transformers: This model uses the Hugging Face
transformerslibrary for handling pre-trained models and performing inference.
Usage
To use this model, you can leverage the transformers library from Hugging Face. Below is an example of how to load and use the model for inference:
from transformers import pipeline
# Load the model and tokenizer
generator = pipeline("text-generation", model="Mrigendra100/XpathGenerator")
# Generate XPath from input HTML
input_html = '<button class="btn relative btn-primary shrink-0"><div class="flex justify-center">Get Plus</div></button>'
generated_xpath = generator(input_html, max_length=50)
print("Generated XPath:", generated_xpath)
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Base model
EleutherAI/gpt-neo-1.3B