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:
- ecbe770e0cb0c3f2bfb883e6a95d068daeca239489a623157a4a3249f631b41e
- Size of remote file:
- 11.7 GB
- SHA256:
- f14ab0bb935bec101b0845c2b678bb41ede712010edf75b381907327cab26e42
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