How to use fxmarty/tiny-doc-qa-vision-encoder-decoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="fxmarty/tiny-doc-qa-vision-encoder-decoder")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("fxmarty/tiny-doc-qa-vision-encoder-decoder") model = AutoModelForMultimodalLM.from_pretrained("fxmarty/tiny-doc-qa-vision-encoder-decoder", device_map="auto")
https://huggingface.co/fxmarty/tiny-doc-qa-vision-encoder-decoder/resolve/20201780da4e56aa014c2ca9d9b40ec27b8c0f39/README.md
hf download hf://fxmarty/tiny-doc-qa-vision-encoder-decoder@20201780da4e56aa014c2ca9d9b40ec27b8c0f39/README.md
curl -L -o README.md https://huggingface.co/fxmarty/tiny-doc-qa-vision-encoder-decoder/resolve/20201780da4e56aa014c2ca9d9b40ec27b8c0f39/README.md
license: mit pipeline_tag: document-question-answering
