Instructions to use efeno/paligemma_machine_learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efeno/paligemma_machine_learning with Transformers:
# Load model directly from transformers import AutoProcessor, ColPali processor = AutoProcessor.from_pretrained("efeno/paligemma_machine_learning") model = ColPali.from_pretrained("efeno/paligemma_machine_learning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 425 Bytes
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"do_convert_rgb": null,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "SiglipImageProcessor",
"image_seq_length": 1024,
"image_std": [
0.5,
0.5,
0.5
],
"processor_class": "PaliGemmaProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 448,
"width": 448
}
}
|