---
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
---
✨ ASCII Machine ✨
ASCII Art Generation Model
---
## 🚀 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)
```
---