How to use Tejagoud/sampe_docqa_layoutlmv3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="Tejagoud/sampe_docqa_layoutlmv3-base")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("Tejagoud/sampe_docqa_layoutlmv3-base") model = AutoModelForDocumentQuestionAnswering.from_pretrained("Tejagoud/sampe_docqa_layoutlmv3-base", device_map="auto")
https://huggingface.co/Tejagoud/sampe_docqa_layoutlmv3-base/resolve/main/tokenizer.json
hf download hf://Tejagoud/sampe_docqa_layoutlmv3-base/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Tejagoud/sampe_docqa_layoutlmv3-base/resolve/main/tokenizer.json
