Instructions to use haianzxc/TinyLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haianzxc/TinyLlama with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("haianzxc/TinyLlama") prompt = "Topic..." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
TinyLlama 1.1B_ReadingTest_Generator

- Prompt
- Topic...
Download model
Download them in the Files & versions tab.
- Downloads last month
- -