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")# 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") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from fxmarty/tiny-doc-qa-vision-encoder-decoder: direct link, hf CLI and curl.
- Browser
- Download file 15.6 MB
-
https://huggingface.co/fxmarty/tiny-doc-qa-vision-encoder-decoder/resolve/20201780da4e56aa014c2ca9d9b40ec27b8c0f39/pytorch_model.bin
- Command line
-
hf download hf://fxmarty/tiny-doc-qa-vision-encoder-decoder@20201780da4e56aa014c2ca9d9b40ec27b8c0f39/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/fxmarty/tiny-doc-qa-vision-encoder-decoder/resolve/20201780da4e56aa014c2ca9d9b40ec27b8c0f39/pytorch_model.bin
15.6 MB
- Xet hash:
- 81fdf01bb2a407a11fb343dde4bfc462730acfa1ec0a22a6e257a2cf5c2637ef
- Size of remote file:
- 15.6 MB
- SHA256:
- a9eb3718c5faad5cd185b54946624ce08596d22a7c28b8be59d49bd5bc8f4912
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