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