How to use hf-internal-testing/tiny-random-LayoutLMv2ForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="hf-internal-testing/tiny-random-LayoutLMv2ForQuestionAnswering")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-LayoutLMv2ForQuestionAnswering") model = AutoModelForDocumentQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-LayoutLMv2ForQuestionAnswering", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-LayoutLMv2ForQuestionAnswering/resolve/f452e28dd34d3c38cce046b1cc7b0ada69f587b1/tokenizer.json
hf download hf://hf-internal-testing/tiny-random-LayoutLMv2ForQuestionAnswering@f452e28dd34d3c38cce046b1cc7b0ada69f587b1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-LayoutLMv2ForQuestionAnswering/resolve/f452e28dd34d3c38cce046b1cc7b0ada69f587b1/tokenizer.json
