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, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("sooh-j/VQA-for-VIP") model = AutoModelForVisualQuestionAnswering.from_pretrained("sooh-j/VQA-for-VIP") - Notebooks
- Google Colab
- Kaggle
File size: 136 Bytes
7c61ef9 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 2,
"eos_token_id": 50118,
"pad_token_id": 1,
"transformers_version": "4.41.2"
}
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