Instructions to use PrimWong/layout_qa_hparam_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimWong/layout_qa_hparam_tuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="PrimWong/layout_qa_hparam_tuning")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("PrimWong/layout_qa_hparam_tuning") model = AutoModelForDocumentQuestionAnswering.from_pretrained("PrimWong/layout_qa_hparam_tuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dde5b129c59d23f5f76b9b7f17c93c26ac7ded5022ea8da691c4393aa9f7ed49
- Size of remote file:
- 4.6 kB
- SHA256:
- c15d14fac6609558768b02d75dc95cece150186c63a4c2f45f0ee589f03087d1
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