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
Request: DOI
1
#3 opened over 1 year ago
by
g4ndh1
LoRA FineTuning
3
#2 opened over 1 year ago
by
hcim
Very impressive!!
2
#1 opened over 1 year ago
by
Marcophono