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")# pip install -U transformers accelerate # 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/refs%2Fpr%2F33/tokenizer.json
- Command line
-
hf download hf://impira/layoutlm-document-qa@refs/pr/33/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/impira/layoutlm-document-qa/resolve/refs%2Fpr%2F33/tokenizer.json
1.36 MB
File too large to display, you can check the raw version instead.