| --- |
| 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") |
| |
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| 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) |
| |
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|
|
| ## 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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