Instructions to use TitanML/tinyllava-1.1b-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TitanML/tinyllava-1.1b-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="TitanML/tinyllava-1.1b-v0.1")# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("TitanML/tinyllava-1.1b-v0.1") model = AutoModelForCausalLM.from_pretrained("TitanML/tinyllava-1.1b-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 10 months ago
by
SFconvertbot