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ASCII-Machine

Image-to-Text
Transformers
Safetensors
qwen3_5
image-text-to-text
ascii
vision
art
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ASCII-Machine
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---
license: apache-2.0
base_model: unsloth/Qwen3.5-2B
tags:
- ascii
- vision
- art
- unsloth
- image-to-text
datasets:
- PinkPixel/ASCII-Art
pipeline_tag: image-to-text
library_name: transformers
---

<div align="center">
  <img src="logo.png" alt="ASCII Machine Logo" width="300" height="300">
  <h1>✨ ASCII Machine ✨</h1>
  <p><i>ASCII Art Generation Model</i></p>
</div>

---

## 🚀 Model Overview

**ASCII Machine** is a specialized vision-language model designed for high-quality ASCII art generation and interpretation. Based on the **Qwen3.5-2B** architecture, it has been fine-tuned to excel at transforming visual concepts into intricate text-based masterpieces.

- **Model Name:** PinkPixel/ASCII-Machine
- **Base Model:** Qwen3.5-2B
- **Training Platform:** [Unsloth Studio](https://unsloth.ai/)
- **Specialization:** ASCII Art Generation & Vision-to-ASCII tasks

## 🎨 Dataset

This model was trained on the [PinkPixel/ASCII-Art](https://huggingface.co/datasets/PinkPixel/ASCII-Art) dataset, a curated collection of thousands of diverse ASCII artworks across various styles and subjects.

## 💬 Example Usage

### User:
> Can you create a small ASCII art of a cat?

### ASCII Machine:
```text
  ^__^
 (oo)\_______
 (__)\       )\/\
     ||----w |
     ||     ||
```
*(Note: Actual output quality may vary based on prompt complexity and artistic style requested)*

## 👁️ Vision Capabilities

As a vision-enabled model, **ASCII Machine** can "see" images and describe them or convert them directly into ASCII representations. Please note that this uses a cutting-edge architecture; while the full safetensors version supports vision natively in compatible environments, third-party support in tools like `llama.cpp` or `LM Studio` may still be in development.

## 🛠️ Installation & Usage

You can use this model directly with the Hugging Face `transformers` library:

```python
from transformers import AutoProcessor, AutoModelForVision2Seq

model_id = "PinkPixel/ASCII-Machine"
processor = AutoProcessor.from_pretrained(model_id)
model = AutoModelForVision2Seq.from_pretrained(model_id)
```

---
<div align="center">
  Made with ❤️ by <a href="https://pinkpixel.dev">Pink Pixel</a>
  <br>
  <i>"Dream it, Pixel it"</i>
</div>