Visual Question Answering
Transformers
PyTorch
Safetensors
English
paligemma
image-text-to-text
coffe
caption
text-generation-inference
Instructions to use Fer14/paligemma_coffee_machine_caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fer14/paligemma_coffee_machine_caption with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Fer14/paligemma_coffee_machine_caption")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Fer14/paligemma_coffee_machine_caption") model = AutoModelForImageTextToText.from_pretrained("Fer14/paligemma_coffee_machine_caption") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58e6c70dcaf3e8da2acb1712affcda2557364a5bec1729432928c6938fa06369
- Size of remote file:
- 17.5 MB
- SHA256:
- ef6773c135b77b834de1d13c75a4c98ab7a3684ffd602d1831e1f1bf5467c563
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.