Instructions to use devthuan/qwen2.5-1.5B-fine-tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use devthuan/qwen2.5-1.5B-fine-tune with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pomipower/qwen2.5-coder-1.5b-ssh-honeypot", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("devthuan/qwen2.5-1.5B-fine-tune") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 20
Model tree for devthuan/qwen2.5-1.5B-fine-tune
Base model
pomipower/qwen2.5-coder-1.5b-ssh-honeypot