Instructions to use TnTerry/MEGL-BLIP-Baseline-Object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TnTerry/MEGL-BLIP-Baseline-Object with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="TnTerry/MEGL-BLIP-Baseline-Object")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("TnTerry/MEGL-BLIP-Baseline-Object") model = AutoModelForVisualQuestionAnswering.from_pretrained("TnTerry/MEGL-BLIP-Baseline-Object") - Notebooks
- Google Colab
- Kaggle
File size: 732 Bytes
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