Instructions to use aertsimon90/Thuner23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aertsimon90/Thuner23 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aertsimon90/Thuner23", dtype=torch.bfloat16, device_map="cuda") prompt = "Thuner, 23, Thuner23, Intelligen" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - Text Generation | |
| - stable-diffusion | |
| - diffusers | |
| base_model: mistralai/Mistral-7B-Instruct-v0.2 | |
| instance_prompt: Thuner, 23, Thuner23, Intelligen | |
| license: apache-2.0 | |
| # Mistral AI | |
| <Gallery /> | |
| ## Model description | |
| Thuner23 is a intelligence ai. | |
| ## Trigger words | |
| You should use `Thuner` to trigger the image generation. | |
| You should use `23` to trigger the image generation. | |
| You should use `Thuner23` to trigger the image generation. | |
| You should use `Intelligen` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/aertsimon90/Thuner23/tree/main) them in the Files & versions tab. | |