Instructions to use NeoteAI/n0-twam-task-specific with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeoteAI/n0-twam-task-specific with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NeoteAI/n0-twam-task-specific", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download norm/insert_HDMI/norm_stat.json from NeoteAI/n0-twam-task-specific: direct link, hf CLI and curl.
- Browser
- Download file 763 Bytes
-
https://huggingface.co/NeoteAI/n0-twam-task-specific/resolve/main/norm/insert_HDMI/norm_stat.json
- Command line
-
hf download hf://NeoteAI/n0-twam-task-specific/norm/insert_HDMI/norm_stat.json
-
curl -L -o norm_stat.json https://huggingface.co/NeoteAI/n0-twam-task-specific/resolve/main/norm/insert_HDMI/norm_stat.json
763 Bytes
| { | |
| "q01": [ | |
| -0.0021424341201782228, | |
| -0.0013897646637633443, | |
| -0.0037942385673522946, | |
| -0.0005153423547744751, | |
| -0.004422392244450748, | |
| -0.0009995418973267078, | |
| -0.00436251035425812, | |
| -0.0004642375111579895, | |
| -0.0009689367935061454, | |
| 0.003675775835290551, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0 | |
| ], | |
| "q99": [ | |
| 0.0015535372495651257, | |
| 0.0014136306592263286, | |
| 3.211215138435364e-05, | |
| 0.0006846791505813599, | |
| 0.004324016626924278, | |
| 0.008767080530524255, | |
| 0.004366804901510479, | |
| 0.0005357624888420106, | |
| 0.0006342333648353816, | |
| 0.003791235585231334, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ] | |
| } |