Instructions to use nvidia/RADIO-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/RADIO-B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="nvidia/RADIO-B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/RADIO-B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 331 Bytes
916898b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"crop_size": {
"height": 768,
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},
"do_center_crop": false,
"do_convert_rgb": true,
"do_normalize": false,
"do_rescale": true,
"do_resize": false,
"image_processor_type": "CLIPImageProcessor",
"processor_class": "CLIPProcessor",
"resample": 3,
"size": {
"shortest_edge": 768
}
} |