Create README.md

README.md

@@ -0,0 +1,49 @@
+---
+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.