Instructions to use impira/layoutlm-invoices with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impira/layoutlm-invoices with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="impira/layoutlm-invoices")# Load model directly from transformers import AutoTokenizer, AutoModelForDocumentQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("impira/layoutlm-invoices") model = AutoModelForDocumentQuestionAnswering.from_pretrained("impira/layoutlm-invoices", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
479914a
1
Parent(s): 783b0c2
Fix _name_or_path in config.json (#2)
Browse files- Fix _name_or_path in config.json (4d8385babf18df8230039850173b21ecc62694c1)
Co-authored-by: Timo Witte <Spacefish007@users.noreply.huggingface.co>
- config.json +1 -1
config.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "impira/layoutlm-
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"architectures": [
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"LayoutLMForQuestionAnswering"
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],
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{
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+
"_name_or_path": "impira/layoutlm-invoices",
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"architectures": [
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"LayoutLMForQuestionAnswering"
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],
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