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
File size: 165 Bytes
ccfda19 | 1 2 3 4 5 6 7 8 9 | {
"_from_model_config": true,
"bos_token_id": 0,
"eos_token_id": 2,
"forced_eos_token_id": 2,
"pad_token_id": 1,
"transformers_version": "4.31.0.dev0"
}
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