Instructions to use EphronM/layoutlmv3-finetuned-wildreceipt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EphronM/layoutlmv3-finetuned-wildreceipt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EphronM/layoutlmv3-finetuned-wildreceipt")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("EphronM/layoutlmv3-finetuned-wildreceipt") model = AutoModelForTokenClassification.from_pretrained("EphronM/layoutlmv3-finetuned-wildreceipt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caf222cad24fa4bf90c22ba4795212ccb193783df1b1b7cf233b32fbfc4c9326
- Size of remote file:
- 5.3 kB
- SHA256:
- 2de649189a78a997a8df09443c8c698ea46476f029e7f10642eca005d2dd4a5b
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