Image-Text-to-Text
Transformers
PyTorch
English
llava
text-generation
Inference Endpoints
tablellava / preprocessor_config.json
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{
"_valid_processor_keys": [
"images",
"do_resize",
"size",
"resample",
"do_center_crop",
"crop_size",
"do_rescale",
"rescale_factor",
"do_normalize",
"image_mean",
"image_std",
"do_convert_rgb",
"return_tensors",
"data_format",
"input_data_format"
],
"crop_size": {
"height": 336,
"width": 336
},
"do_center_crop": true,
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_processor_type": "CLIPImageProcessor",
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"processor_class": "LlavaProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"shortest_edge": 336
}
}