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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/deplot") model = AutoModelForMultimodalLM.from_pretrained("google/deplot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/deplot: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/google/deplot/resolve/6e76d62430da16986be3426bae32301fb9115397/pytorch_model.bin
- Command line
-
hf download hf://google/deplot@6e76d62430da16986be3426bae32301fb9115397/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/deplot/resolve/6e76d62430da16986be3426bae32301fb9115397/pytorch_model.bin
1.13 GB
- Xet hash:
- 624dfde9f293627105d44000251a7bc62143879713020b6699442ff4f978b122
- Size of remote file:
- 1.13 GB
- SHA256:
- d32fa3870d2d89d4e9a7d18bea0a797046eca929035243aa8dcaa8b4bc029c5b
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