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--- |
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language: |
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- en |
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base_model: EleutherAI/gpt-neo-1.3B |
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pipeline_tag: text-generation |
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library_name: transformers |
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--- |
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# Model Card for Mrigendra100/XpathGenerator |
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## Model Details |
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- **Model Name**: Mrigendra100/XpathGenerator |
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- **Base Model**: EleutherAI/gpt-neo-1.3B |
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- **Task**: Text generation (specifically for generating XPath expressions from HTML) |
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## Library |
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- **Transformers**: This model uses the Hugging Face `transformers` library for handling pre-trained models and performing inference. |
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## Usage |
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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: |
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```python |
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from transformers import pipeline |
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# Load the model and tokenizer |
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generator = pipeline("text-generation", model="Mrigendra100/XpathGenerator") |
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# Generate XPath from input HTML |
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input_html = '<button class="btn relative btn-primary shrink-0"><div class="flex justify-center">Get Plus</div></button>' |
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generated_xpath = generator(input_html, max_length=50) |
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print("Generated XPath:", generated_xpath) |
