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
Upload Blip2ForConditionalGeneration
Browse files- config.json +1 -1
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
config.json
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"_name_or_path": "Salesforce/blip2-opt-2.7b",
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"architectures": [
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model-00001-of-00004.safetensors
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