Instructions to use nanom/pix2struct-vizwizvqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nanom/pix2struct-vizwizvqa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="nanom/pix2struct-vizwizvqa-base")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nanom/pix2struct-vizwizvqa-base") model = AutoModelForMultimodalLM.from_pretrained("nanom/pix2struct-vizwizvqa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bd471921814d20ef4916b04029c63b2cb3041485457ae81a0ca6c103ce3914e
- Size of remote file:
- 1.13 GB
- SHA256:
- bef30b054b7a0071c2867c221e93eeae5a80d822fb8bd1462c58dd8af77558a1
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