Instructions to use hf-tiny-model-private/tiny-random-Swin2SRModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-Swin2SRModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-Swin2SRModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Swin2SRModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-Swin2SRModel") - Notebooks
- Google Colab
- Kaggle
File size: 185 Bytes
cbc59f3 | 1 2 3 4 5 6 7 8 9 10 | {
"crop_size": 32,
"do_pad": true,
"do_rescale": true,
"image_processor_type": "Swin2SRImageProcessor",
"pad_size": 8,
"rescale_factor": 0.00392156862745098,
"size": 32
}
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