Instructions to use Hiraishin/PaliGemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hiraishin/PaliGemma with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hiraishin/PaliGemma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 700 Bytes
8707fdb 2fd3438 8707fdb 2fd3438 8707fdb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | {
"_valid_processor_keys": [
"images",
"do_resize",
"size",
"resample",
"do_rescale",
"rescale_factor",
"do_normalize",
"image_mean",
"image_std",
"return_tensors",
"data_format",
"input_data_format",
"do_convert_rgb"
],
"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
}
}
|