enhanceaiteam/Codehelp-33b

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

Load the model: python from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("enhanceaiteam/Codehelp-33b") tokenizer = AutoTokenizer.from_pretrained("enhanceaiteam/Codehelp-33b")
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 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.