Instructions to use Transformers123/testing_303 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transformers123/testing_303 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Transformers123/testing_303")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Transformers123/testing_303") model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/testing_303", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 303 Bytes
326a6c6 7eaf3be 326a6c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"do_normalize": true,
"do_reduce_labels": true,
"do_rescale": true,
"do_resize": true,
"image_mean": 0.5,
"image_processor_type": "SegformerImageProcessor",
"image_std": 0.5,
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 512,
"width": 512
}
}
|