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, 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") - Notebooks
- Google Colab
- Kaggle
File size: 229 Bytes
ccfda19 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"</s_answer>": 57523,
"</s_question>": 57524,
"<no/>": 57525,
"<s_answer>": 57526,
"<s_docvqa>": 57527,
"<s_iitcdip>": 57528,
"<s_question>": 57529,
"<s_synthdog>": 57530,
"<sep/>": 57522,
"<yes/>": 57531
}
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