Canstralian
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RabbitRedux

Transformers

English

code

text-generation-inference

Inference Endpoints

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Canstralian commited on Nov 3, 2024

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-# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
-# Doc / guide: https://huggingface.co/docs/hub/model-cards
-{}
 ---
-# Model Card for Model ID
-The WhiteRabbitNeo Code Classification Model is designed to perform text classification tasks, specifically tailored to code functions at various levels of complexity and cybersecurity contexts. The model builds upon the replit/replit-code-v1_5-3b base model and leverages multiple datasets for comprehensive training.
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
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-## Uses
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-### Direct Use
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-## Bias, Risks, and Limitations
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-### Recommendations
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-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
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-## Training Details
-### Training Data
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-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
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-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
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-## Evaluation
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-#### Testing Data
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-### Results
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-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
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-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-## Technical Specifications [optional]
-### Model Architecture and Objective
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 ---
+license: apache-2.0
+datasets:
+  - WhiteRabbitNeo/WRN-Chapter-1
+  - WhiteRabbitNeo/WRN-Chapter-2
+  - WhiteRabbitNeo/Code-Functions-Level-General
+  - WhiteRabbitNeo/Code-Functions-Level-Cyber
+  - replit/agent-challenge
+language:
+  - en
+base_model: replit/replit-code-v1_5-3b
+pipeline_tag: text-classification
+tags:
+  - code
 ---
+# 🐇 RabbitRedux Model Card
+## 👋 Introduction
+Welcome to my corner of the GitHub and Open Source universe! I’m **Stephen de Jager**, a seasoned IT enthusiast with over 20 years of experience and a passionate cybersecurity student diving into the depths of code and creativity. Think of me as your friendly neighborhood developer, always ready to tackle new challenges, debug pesky issues, or collaborate on exciting projects.
+---
+## 🛠️ What I Bring to the Table
+I’m not just about code; I bring a wealth of knowledge, innovative ideas, and a penchant for problem-solving. With a background in training and a commitment to open-source principles, I aim to create inclusive and engaging projects that not only serve practical purposes but also inspire others to contribute.
+### 🌟 Key Contributions
+- **Penetration Testing Tools**: Developing tools that support reconnaissance, enumeration, and task automation—think of it as a Swiss Army knife for penetration testers.
+- **Ransomware Research**: My project on ransomware data collection and visualization aims to shine a light on the ever-evolving landscape of cyber threats.
+- **AI-Driven Solutions**: Leveraging machine learning to create models that help improve executive functioning for individuals with ADHD, proving that tech can truly change lives.
+---
+## 📚 WhiteRabbitNeo Code Classification Model
+### Model Overview
+The **WhiteRabbitNeo Code Classification Model** is designed to perform text classification tasks, specifically tailored to code functions at various levels of complexity and cybersecurity contexts. This model builds upon the `replit/replit-code-v1_5-3b` base model and leverages advanced machine learning techniques to enhance its performance.
+### 📜 License
+This model is licensed under the **Apache 2.0 License**.
+### 📊 Datasets
+The model has been trained on the following datasets:
+- **WhiteRabbitNeo/WRN-Chapter-1**: Initial dataset containing a variety of code functions and examples.
+- **WhiteRabbitNeo/WRN-Chapter-2**: Expanded dataset with more advanced and varied code functions.
+- **WhiteRabbitNeo/Code-Functions-Level-General**: General-purpose code functions covering a broad spectrum of programming concepts.
+- **WhiteRabbitNeo/Code-Functions-Level-Cyber**: Specialized dataset focusing on code functions relevant to cybersecurity.
+- **replit/agent-challenge**: A challenge dataset from Replit aimed at testing the model's ability to handle complex code scenarios.
+### 🗣️ Languages
+The model is designed to work with code written in **English (en)**.
+---
+## 🌍 Join the Community!
+Open source thrives on collaboration! Whether you’re a seasoned developer, a curious learner, or someone who just enjoys tinkering with code, I invite you to join me. Here’s how you can get involved:
+- **Fork my repositories**: Don’t just watch from the sidelines—dive in! Fork, modify, and share your versions.
+- **Raise issues**: Found a bug or have a suggestion? I’m all ears! Constructive feedback helps me improve and refine my projects.
+- **Collaborate**: If you have a project idea or need assistance, let’s chat! I love brainstorming new concepts and turning them into reality.
+---
+## 📚 Useful Resources
+Curious about my work? Here are some places you can check out:
+- **My GitHub Profile**: [canstralian](https://github.com/canstralian) - Explore my repositories, contributions, and projects.
+- **My Replit Profile**: [canstralian](https://replit.com/@canstralian) - Check out my interactive coding adventures and prototypes.
+![Rabbit Redux Logo](https://tse2.mm.bing.net/th?id=OIG3.tE9JbzNCmIusJY4ig_lj&pid=ImgGn)
+---
+## 🍳 Fun Facts
+- I believe breakfast is the most important meal of the day—especially if it includes coffee and a side of code!
+- I’m a single dad to an amazing 8-year-old who keeps me on my toes and reminds me that curiosity is the key to creativity.
+- When I’m not coding, you might find me diving into a good book or enjoying some recreational substances (responsibly, of course!).
+---
+## 🤔 Let’s Connect!
+I’m always excited to meet fellow tech enthusiasts and like-minded individuals. If you have questions, suggestions, or just want to chat about tech, feel free to reach out. Let’s make the open-source community a little brighter, one line of code at a time!