Instructions to use nflechas/VQArt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nflechas/VQArt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="nflechas/VQArt")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("nflechas/VQArt") model = AutoModelForVisualQuestionAnswering.from_pretrained("nflechas/VQArt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8728ef43bf958f1275809acd1ec3d0149da497eb1ad26413f7e6f63cd1ea0b10
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size 451234516
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