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 rng_state.pth from Fer14/paligemma_coffee_machine_caption: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/Fer14/paligemma_coffee_machine_caption/resolve/main/rng_state.pth
- Command line
-
hf download hf://Fer14/paligemma_coffee_machine_caption/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/Fer14/paligemma_coffee_machine_caption/resolve/main/rng_state.pth
14.2 kB
- Xet hash:
- 1d35f53f7a87f332ff18bb86e3640f14662402db913a5c4482a373bd0ad3d035
- Size of remote file:
- 14.2 kB
- SHA256:
- a773b39368dc04559e5a0a1ddc14b45f36627530c414c778698bb5fe8236f9ae
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