Instructions to use sooh-j/VQA-for-VIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sooh-j/VQA-for-VIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="sooh-j/VQA-for-VIP")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("sooh-j/VQA-for-VIP") model = AutoModelForMultimodalLM.from_pretrained("sooh-j/VQA-for-VIP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- baa55ee7956b5270c1605e27a5aeb2313b588757f56257993658df144332482d
- Size of remote file:
- 4.9 GB
- SHA256:
- 2a8758b1abcd54294d9d36943b0de2c74caff6e41e15180ffd5b90c4c5af06ff
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