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")# pip install -U transformers accelerate # 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
Download tokenizer.json from PrimWong/layout_qa_hparam_tuning: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/PrimWong/layout_qa_hparam_tuning/resolve/main/tokenizer.json
- Command line
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hf download hf://PrimWong/layout_qa_hparam_tuning/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/PrimWong/layout_qa_hparam_tuning/resolve/main/tokenizer.json
711 kB
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