Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Instructions to use avurity/layoutlmv3-finetuned-invoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avurity/layoutlmv3-finetuned-invoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="avurity/layoutlmv3-finetuned-invoice")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("avurity/layoutlmv3-finetuned-invoice") model = AutoModelForTokenClassification.from_pretrained("avurity/layoutlmv3-finetuned-invoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
config.json
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"_name_or_path": "layoutlmv3-
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"architectures": [
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"LayoutLMv3ForTokenClassification"
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{
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"_name_or_path": "microsoft/layoutlmv3-base",
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"architectures": [
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"LayoutLMv3ForTokenClassification"
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pytorch_model.bin
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runs/Aug06_05-50-05_d29a356fda96/events.out.tfevents.1691301009.d29a356fda96.2241.8
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training_args.bin
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