README.md

metadata

language:
  - en
base_model: EleutherAI/gpt-neo-1.3B
pipeline_tag: text-generation
library_name: transformers

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 transformers library 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)