Instructions to use OpenFace-CQUPT/Human_LLaVA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenFace-CQUPT/Human_LLaVA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="OpenFace-CQUPT/Human_LLaVA")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("OpenFace-CQUPT/Human_LLaVA") model = AutoModelForImageTextToText.from_pretrained("OpenFace-CQUPT/Human_LLaVA") - Notebooks
- Google Colab
- Kaggle
Very impressive!!
#1
by Marcophono - opened
Nothing else to say!
To push my own "discussion": Do you have planned a 8 or 4 bit model?
coming soon!