Instructions to use mlpc-lab/BLIVA_FlanT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlpc-lab/BLIVA_FlanT5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="mlpc-lab/BLIVA_FlanT5")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mlpc-lab/BLIVA_FlanT5", dtype="auto") - Notebooks
- Google Colab
- Kaggle