Instructions to use naver-clova-ix/donut-base-finetuned-zhtrainticket with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naver-clova-ix/donut-base-finetuned-zhtrainticket 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="naver-clova-ix/donut-base-finetuned-zhtrainticket")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("naver-clova-ix/donut-base-finetuned-zhtrainticket") model = AutoModelForMultimodalLM.from_pretrained("naver-clova-ix/donut-base-finetuned-zhtrainticket") - Notebooks
- Google Colab
- Kaggle
File size: 362 Bytes
16e8dc3 | 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 | {
"do_align_long_axis": false,
"do_normalize": true,
"do_pad": true,
"do_resize": true,
"do_thumbnail": true,
"feature_extractor_type": "DonutFeatureExtractor",
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"processor_class": "DonutProcessor",
"resample": 2,
"size": [
1280,
960
]
}
|