--- language: en tags: - Explain code - Code Summarization - Summarization license: apache-2.0 --- # XVCLM For in-depth understanding of our model and methods, please see our blog [here](https://binarybardakshat.medium.com/xvclm-revolutionizing-code-interpretation-9e9fd84de3c3) ## Model description XVCLM is a transformer-based model designed to explain and summarize code. It has been pre-trained on approximately **1 million code/description pairs** and fine-tuned on a curated set of **10,000 high-quality examples**. XVCLM can handle short to medium code snippets in: - Python - JavaScript (including frameworks like React) - Java - Ruby - Go - PHP The model outputs descriptions in English. ## Intended uses XVCLM, without any additional fine-tuning, can explain code in a few sentences and typically performs best with Python and JavaScript. We recommend using XVCLM for: - Simple code explanations - Documentation generation - Producing synthetic data to enhance model explanations ### How to use You can use this model directly with a pipeline for text-to-text generation, as shown below: ```python from transformers import pipeline, set_seed summarizer = pipeline('text2text-generation', model='Binarybardakshat/XVCLM-MIN-DECT') code = "print('hello world!')" response = summarizer(code, max_length=100, num_beams=3) print("Summarized code: " + response[0]['generated_text']) ``` Which should yield something along the lines of: ``` Summarized code: The following code is greeting the world. ``` ### Model sizes - XVCLM (this repo): 1 Million Parameters - XVCLM-Small: 220 Million Parameters ### Limitations XVCLM may produce overly simplistic descriptions that don't cover the entirety of a code snippet. We believe that with more diverse training data, we can overcome this limitation and achieve better results. ### About Us At Vinkura, We're all about using AI to benefit everyone. We believe AI should be safe and put people first, not just profits. Our goal is to make AI that helps solve big problems and is available to everyone. We know that diversity is key to success, so we value all kinds of voices and experiences. We're always working to make sure everyone feels included and supported.