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---
license: mit
metrics:
- code_eval
pipeline_tag: text-generation
tags:
- LLM
- Text to text
- Code
- Chatgpt
- Llama
---
## Description
CodeHelp-33b is a merge model developed by Pranav for assisting developers with code-related tasks. This model is based on the Language Model (LLM) architecture.
## Features
- **Code Assistance:** Provides recommendations and suggestions for coding tasks.
- **Merge Model:** Combines multiple models for enhanced performance.
- **Developed by Pranav:** Created by Pranav, a skilled developer in the field.
## Usage
1. Load the model:
python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("enhanceaiteam/Codehelp-33b")
tokenizer = AutoTokenizer.from_pretrained("enhanceaiteam/Codehelp-33b")
2. Generate code assistance:
python
input_text = "Write a function to sort a list of integers."
input_ids = tokenizer.encode(input_text, return_tensors="pt")
output = model.generate(input_ids, max_length=100, num_return_sequences=1)
generated_code = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_code)
## Acknowledgements
- This model is based on the Hugging Face Transformers library.
- Special thanks to Pranav for developing and sharing this merge model for the developer community.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
Please customize this template with specific details about your Model CodeHelp-30b repository. If you have any further questions or need assistance, feel free to reach out.
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