Instructions to use Team-PIXEL/pixel-small-mono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-small-mono with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("Team-PIXEL/pixel-small-mono", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Team-PIXEL/pixel-small-mono: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
-
https://huggingface.co/Team-PIXEL/pixel-small-mono/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Team-PIXEL/pixel-small-mono/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Team-PIXEL/pixel-small-mono/resolve/main/preprocessor_config.json
248 Bytes
| { | |
| "do_normalize": false, | |
| "do_resize": true, | |
| "feature_extractor_type": "ViTFeatureExtractor", | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "resample": 2, | |
| "size": [ | |
| 16, | |
| 8464 | |
| ] | |
| } | |