Instructions to use google/pix2struct-docvqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-docvqa-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-docvqa-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/pix2struct-docvqa-base") model = AutoModelForMultimodalLM.from_pretrained("google/pix2struct-docvqa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#6)
- Adding `safetensors` variant of this model (88d991987284a515e52693170dee694a9ce38aca) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>63f6b3d
-
Update README.md
4dde85b
-
Update config.json
bbead99
-
Update config.json
fb6a1ee
-
Create README.md
f3b2cd6 -
Upload processor
87ef4ff -
Upload Pix2StructForConditionalGeneration
49ed5ec -
initial commit
Younes Belkada5b600e3