Instructions to use amanuelbyte/BLIP-VQA-Base-SHROOM-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amanuelbyte/BLIP-VQA-Base-SHROOM-SFT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="amanuelbyte/BLIP-VQA-Base-SHROOM-SFT")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("amanuelbyte/BLIP-VQA-Base-SHROOM-SFT") model = AutoModelForVisualQuestionAnswering.from_pretrained("amanuelbyte/BLIP-VQA-Base-SHROOM-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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