Instructions to use google/pix2struct-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-large with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="google/pix2struct-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/pix2struct-large") model = AutoModelForMultimodalLM.from_pretrained("google/pix2struct-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/pix2struct-large: direct link, hf CLI and curl.
- Browser
- Download file 5.34 GB
-
https://huggingface.co/google/pix2struct-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/pix2struct-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/pix2struct-large/resolve/main/pytorch_model.bin
5.34 GB
- Xet hash:
- 40515ca3b78968bda7683e8e9d405e8ffff01db8f53bd7ccbc71f32fbd5d21e4
- Size of remote file:
- 5.34 GB
- SHA256:
- 976177c9baaa9f4fd56d4be844008e2d9e4a2bf1bdddf60c5ba9cd045d203c9d
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