Instructions to use microsoft/kosmos-2-patch14-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/kosmos-2-patch14-224 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="microsoft/kosmos-2-patch14-224")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/kosmos-2-patch14-224") model = AutoModelForMultimodalLM.from_pretrained("microsoft/kosmos-2-patch14-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 534 Bytes
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"crop_size": {
"height": 224,
"width": 224
},
"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": "Kosmos2Processor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"shortest_edge": 224
},
"use_square_size": true
}
|