Instructions to use JustANormalTinkerer/hayai-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustANormalTinkerer/hayai-ocr 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="JustANormalTinkerer/hayai-ocr")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("JustANormalTinkerer/hayai-ocr") model = AutoModel.from_pretrained("JustANormalTinkerer/hayai-ocr") - Notebooks
- Google Colab
- Kaggle
File size: 361 Bytes
303039b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"data_format": "channels_first",
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "Siglip2ImageProcessorFast",
"image_std": [
0.5,
0.5,
0.5
],
"max_num_patches": 256,
"patch_size": 16,
"resample": 2,
"rescale_factor": 0.00392156862745098
}
|