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") - Notebooks
- Google Colab
- Kaggle
Question: edge/mobile deployment β anyone tested?
#34
by 3morixd - opened
We benchmark models on 40 phones (Snapdragon 865) at Dispatch AI (FZE, UAE).
Question: has anyone tested this model on mobile/edge? Interested in:
- Inference speed (t/s)
- Model size after quantization
- RAM usage
Happy to share phone farm benchmark results.
- Dispatch AI (FZE), Sharjah UAE