Instructions to use daniyalumerr/LayoutLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daniyalumerr/LayoutLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="daniyalumerr/LayoutLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForDocumentQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daniyalumerr/LayoutLM") model = AutoModelForDocumentQuestionAnswering.from_pretrained("daniyalumerr/LayoutLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from daniyalumerr/LayoutLM: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/daniyalumerr/LayoutLM/resolve/main/vocab.json
- Command line
-
hf download hf://daniyalumerr/LayoutLM/vocab.json
-
curl -L -o vocab.json https://huggingface.co/daniyalumerr/LayoutLM/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.