Instructions to use google/pix2struct-screen2words-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-screen2words-base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" 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("visual-question-answering", model="google/pix2struct-screen2words-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/pix2struct-screen2words-base") model = AutoModelForMultimodalLM.from_pretrained("google/pix2struct-screen2words-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/pix2struct-screen2words-base: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/google/pix2struct-screen2words-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/pix2struct-screen2words-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/pix2struct-screen2words-base/resolve/main/pytorch_model.bin
1.13 GB
- Xet hash:
- cf9eb3df648befd41f9a63ba7efe68c1c9bf03ef1cf32eeef2e4e23d91052479
- Size of remote file:
- 1.13 GB
- SHA256:
- e2f7d00acea66cff82f6ca166b9aecdbd9c6152e3dbe3c7f78166ae97e1a99d1
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