Instructions to use hf-internal-testing/tiny-random-layoutlmv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-layoutlmv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-layoutlmv3")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-layoutlmv3") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-layoutlmv3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 347 Bytes
81f859a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"apply_ocr": false,
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "LayoutLMv3FeatureExtractor",
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"ocr_lang": null,
"processor_class": "LayoutLMv3Processor",
"resample": 2,
"size": 224,
"tesseract_config": ""
}
|