Instructions to use google/pix2struct-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-base 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-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-base") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-base") - 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.