How to use xhyi/layoutlmv3_docvqa_t11c5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="xhyi/layoutlmv3_docvqa_t11c5000")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("xhyi/layoutlmv3_docvqa_t11c5000") model = AutoModelForDocumentQuestionAnswering.from_pretrained("xhyi/layoutlmv3_docvqa_t11c5000", device_map="auto")
https://huggingface.co/xhyi/layoutlmv3_docvqa_t11c5000/resolve/main/tokenizer.json
hf download hf://xhyi/layoutlmv3_docvqa_t11c5000/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/xhyi/layoutlmv3_docvqa_t11c5000/resolve/main/tokenizer.json
