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 # 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="Fer14/paligemma_coffee_machine_caption")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Fer14/paligemma_coffee_machine_caption: direct link, hf CLI and curl.
- Browser
- Download file 11.7 GB
-
https://huggingface.co/Fer14/paligemma_coffee_machine_caption/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Fer14/paligemma_coffee_machine_caption/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Fer14/paligemma_coffee_machine_caption/resolve/main/pytorch_model.bin
11.7 GB
- Xet hash:
- ecbe770e0cb0c3f2bfb883e6a95d068daeca239489a623157a4a3249f631b41e
- Size of remote file:
- 11.7 GB
- SHA256:
- f14ab0bb935bec101b0845c2b678bb41ede712010edf75b381907327cab26e42
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