Instructions to use PinkPixel/ASCII-Machine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PinkPixel/ASCII-Machine with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="PinkPixel/ASCII-Machine")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("PinkPixel/ASCII-Machine") model = AutoModelForMultimodalLM.from_pretrained("PinkPixel/ASCII-Machine", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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## 🚀 Model Overview
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**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.
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**NOTE:** This is the first version of this model and it may not always generate perfect ASCII art. Fine tuning is still in progress and there will be updated versions coming soon.
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## 🚀 Model Overview
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**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.
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