Instructions to use google/pix2struct-textcaps-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-textcaps-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-textcaps-base")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/pix2struct-textcaps-base") model = AutoModelForMultimodalLM.from_pretrained("google/pix2struct-textcaps-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from google/pix2struct-textcaps-base: direct link, hf CLI and curl.
- Browser
- Download file 3.27 MB
-
https://huggingface.co/google/pix2struct-textcaps-base/resolve/refs%2Fpr%2F5/tokenizer.json
- Command line
-
hf download hf://google/pix2struct-textcaps-base@refs/pr/5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/google/pix2struct-textcaps-base/resolve/refs%2Fpr%2F5/tokenizer.json
3.27 MB
File too large to display, you can check the raw version instead.