Instructions to use fxmarty/tiny-doc-qa-vision-encoder-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("fxmarty/tiny-doc-qa-vision-encoder-decoder") model = AutoModelForImageTextToText.from_pretrained("fxmarty/tiny-doc-qa-vision-encoder-decoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1a20043855a2a9000ec7881e5a073d8c5e099117208973b48685bbe231437e2
- Size of remote file:
- 15.6 MB
- SHA256:
- 45863bbea40bfccd97be89d62f850d68607d523810e7ee5afcd3bf52081f3685
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