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
| { | |
| "</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 | |
| } | |