Instructions to use google/deplot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/deplot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/deplot")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/deplot") model = AutoModelForImageTextToText.from_pretrained("google/deplot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41159b3239a5325e41944e1e687047c54b422d9f3a0839da86d07beb93ac1e71
- Size of remote file:
- 851 kB
- SHA256:
- 7fd650335add59bed55a432186ca0437a09e185c2d241faab468a538fe6bcf94
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.