Instructions to use Resi/layfi-v1-docvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Resi/layfi-v1-docvqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="Resi/layfi-v1-docvqa")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("Resi/layfi-v1-docvqa") model = AutoModelForDocumentQuestionAnswering.from_pretrained("Resi/layfi-v1-docvqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Resi/layfi-v1-docvqa: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/Resi/layfi-v1-docvqa/resolve/main/tokenizer.json
- Command line
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hf download hf://Resi/layfi-v1-docvqa/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Resi/layfi-v1-docvqa/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.