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_hole/norm_stat.json from NeoteAI/n0-twam-task-specific: direct link, hf CLI and curl.
- Browser
- Download file 765 Bytes
-
https://huggingface.co/NeoteAI/n0-twam-task-specific/resolve/main/norm/insert_hole/norm_stat.json
- Command line
-
hf download hf://NeoteAI/n0-twam-task-specific/norm/insert_hole/norm_stat.json
-
curl -L -o norm_stat.json https://huggingface.co/NeoteAI/n0-twam-task-specific/resolve/main/norm/insert_hole/norm_stat.json
765 Bytes
| { | |
| "q01": [ | |
| -0.009767520427703857, | |
| -0.0007488229195587337, | |
| -0.011867569386959076, | |
| -0.00013576149940490722, | |
| -0.0025773942470550537, | |
| -0.004246519994921982, | |
| -0.0025687004439532758, | |
| -0.0005014260411262513, | |
| -0.0006666312110610306, | |
| 0.0052248304830864074, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0 | |
| ], | |
| "q99": [ | |
| 0.010969671607017463, | |
| 0.0007810156792402256, | |
| 0.0005214944481849663, | |
| 0.00011484920978546134, | |
| 0.002450765110552307, | |
| 0.004085584310814727, | |
| 0.0024352332111448006, | |
| 0.0004985739588737487, | |
| 0.000591078901197761, | |
| 0.006224830483086407, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ] | |
| } |