Instructions to use google/pix2struct-textcaps-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-textcaps-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-textcaps-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/pix2struct-textcaps-large") model = AutoModelForMultimodalLM.from_pretrained("google/pix2struct-textcaps-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/pix2struct-textcaps-large: direct link, hf CLI and curl.
- Browser
- Download file 2.67 GB
-
https://huggingface.co/google/pix2struct-textcaps-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/pix2struct-textcaps-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/pix2struct-textcaps-large/resolve/main/pytorch_model.bin
2.67 GB
- Xet hash:
- 46b48cac6e40583fac0a256414b6ff4439f041b03fba86b2c35ddedee63ae0d2
- Size of remote file:
- 2.67 GB
- SHA256:
- 1c684ab87a2ca214eb3221680a9592d626a79f3a96962c145a750a5822d69493
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