Instructions to use impira/layoutlm-document-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impira/layoutlm-document-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="impira/layoutlm-document-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForDocumentQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("impira/layoutlm-document-qa") model = AutoModelForDocumentQuestionAnswering.from_pretrained("impira/layoutlm-document-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from impira/layoutlm-document-qa: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
-
https://huggingface.co/impira/layoutlm-document-qa/resolve/main/tokenizer.json
- Command line
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hf download hf://impira/layoutlm-document-qa/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/impira/layoutlm-document-qa/resolve/main/tokenizer.json
1.36 MB
File too large to display, you can check the raw version instead.