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 setup.cfg from impira/layoutlm-document-qa: direct link, hf CLI and curl.
- Browser
- Download file 388 Bytes
-
https://huggingface.co/impira/layoutlm-document-qa/resolve/52e01b37ccf248953eb527c1d96e9ec1750f3c3c/setup.cfg
- Command line
-
hf download hf://impira/layoutlm-document-qa@52e01b37ccf248953eb527c1d96e9ec1750f3c3c/setup.cfg
-
curl -L -o setup.cfg https://huggingface.co/impira/layoutlm-document-qa/resolve/52e01b37ccf248953eb527c1d96e9ec1750f3c3c/setup.cfg
388 Bytes
| [isort] | |
| default_section = FIRSTPARTY | |
| ensure_newline_before_comments = True | |
| force_grid_wrap = 0 | |
| include_trailing_comma = True | |
| known_first_party = transformers | |
| line_length = 119 | |
| lines_after_imports = 2 | |
| multi_line_output = 3 | |
| use_parentheses = True | |
| [flake8] | |
| ignore = E203, E501, E741, W503, W605 | |
| max-line-length = 119 | |
| [tool:pytest] | |
| doctest_optionflags=NUMBER NORMALIZE_WHITESPACE ELLIPSIS | |