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")# 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
Download export_metadata.json from PinkPixel/ASCII-Machine: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/PinkPixel/ASCII-Machine/resolve/main/export_metadata.json
- Command line
-
hf download hf://PinkPixel/ASCII-Machine/export_metadata.json
-
curl -L -o export_metadata.json https://huggingface.co/PinkPixel/ASCII-Machine/resolve/main/export_metadata.json
40 Bytes
| { | |
| "base_model": "unsloth/Qwen3.5-2B" | |
| } |