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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Fer14/paligemma_coffee_machine_caption") model = AutoModelForMultimodalLM.from_pretrained("Fer14/paligemma_coffee_machine_caption") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7f6bdbdfeed6dd8bb5eb9a7a990efb3c0e87bb0f770286ec2a0c325a840a9be
- Size of remote file:
- 90.6 MB
- SHA256:
- baaf7539df0204a717311528279f90f70799d9bd12eb3790a75e27291c2dbb28
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.