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_config.json from impira/layoutlm-document-qa: direct link, hf CLI and curl.
- Browser
- Download file 315 Bytes
-
https://huggingface.co/impira/layoutlm-document-qa/resolve/52e01b37ccf248953eb527c1d96e9ec1750f3c3c/tokenizer_config.json
- Command line
-
hf download hf://impira/layoutlm-document-qa@52e01b37ccf248953eb527c1d96e9ec1750f3c3c/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/impira/layoutlm-document-qa/resolve/52e01b37ccf248953eb527c1d96e9ec1750f3c3c/tokenizer_config.json
315 Bytes
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta-base", "add_prefix_space": true} | |