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 86 MB
-
https://huggingface.co/fxmarty/tiny-doc-qa-vision-encoder-decoder/resolve/ccfda193d2c976f8da44d68de7a4cafeeef3ff3e/pytorch_model.bin
- Command line
-
hf download hf://fxmarty/tiny-doc-qa-vision-encoder-decoder@ccfda193d2c976f8da44d68de7a4cafeeef3ff3e/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/fxmarty/tiny-doc-qa-vision-encoder-decoder/resolve/ccfda193d2c976f8da44d68de7a4cafeeef3ff3e/pytorch_model.bin
86 MB
- Xet hash:
- e48dc54499f45a4ceda07986d7daece6a9deb6903dfb34fb558644e9d9cc9eaf
- Size of remote file:
- 86 MB
- SHA256:
- 049dfc26b58f98157b84aae0ad6270192b6941551133c9900535598eaa29b8a3
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