Instructions to use ImSH/sleepy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ImSH/sleepy with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("ImSH/sleepy") model = SegformerForSemanticSegmentation.from_pretrained("ImSH/sleepy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
{ "do_normalize": true, "do_resize": true, "feature_extractor_type": "SegformerFeatureExtractor", "image_mean": [ 0.485, 0.456, 0.406 ], "image_std": [ 0.229, 0.224, 0.225 ], "reduce_labels": false, "resample": 2, "size": 512 }
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