• Model creator: https://huggingface.co/Mr-Vicky-01/
• Original model: https://huggingface.co/Mr-Vicky-01/Gemma-2B-Finetuined-pythonCode/

Original model description:

• flytech/python-codes-25k language:
• en widget:
• example_title: Python! text: >- <start_of_turn>user based on given instruction create a solution\n\nhere are the instruction write a python class to create linked list <end_of_turn>\n<start_of_turn>model tags:
• code inference: parameters: do_sample: False max_new_tokens: 250 pipeline_tag: text2text-generation

Gemma-2B Fine-Tuned Python Model

Overview

Model Details

• Model Name: Gemma-2B Fine-Tuned Python Model
• Model Type: Deep Learning Model
• Base Model: Gemma-2B
• Language: Python
• Task: Python Code Understanding and Assistance

Example Use Cases

• Code completion: Automatically completing code snippets based on partial inputs.
• Syntax correction: Identifying and suggesting corrections for syntax errors in Python code.
• Code quality improvement: Providing suggestions to enhance code readability, efficiency, and maintainability.
• Debugging assistance: Offering insights and suggestions to debug Python code by identifying potential errors or inefficiencies.

How to Use

1. Install Gemma Python Package:
   bash

   1 pip install -q -U transformers==4.38.0 2 pip install torch

Inference

1. How to use the model in our notebook: