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:
- b55946b8fdef9ad7ca6ebc7b04f141be408a5e12ed39201e74b06af97f68fbca
- Size of remote file:
- 5.05 kB
- SHA256:
- 2b778ca46452d54500febcfa65dab66b13c9707fd8cabb4992d668d8c0d27101
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