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_USB/norm_stat.json from NeoteAI/n0-twam-task-specific: direct link, hf CLI and curl.
- Browser
- Download file 768 Bytes
-
https://huggingface.co/NeoteAI/n0-twam-task-specific/resolve/main/norm/insert_USB/norm_stat.json
- Command line
-
hf download hf://NeoteAI/n0-twam-task-specific/norm/insert_USB/norm_stat.json
-
curl -L -o norm_stat.json https://huggingface.co/NeoteAI/n0-twam-task-specific/resolve/main/norm/insert_USB/norm_stat.json
768 Bytes
| { | |
| "q01": [ | |
| -0.0010348153114318847, | |
| -0.0014879270805977286, | |
| -0.038630249798297885, | |
| -1.9371509552001953e-05, | |
| -6.59513846039772e-05, | |
| -0.00531541733071208, | |
| -5.749649368226528e-05, | |
| -0.0005019967555999756, | |
| -0.0009899623924866318, | |
| -0.00048203508529513783, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0 | |
| ], | |
| "q99": [ | |
| 0.0017099171876907406, | |
| 0.001756711854832247, | |
| 6.301403045654366e-06, | |
| 0.00019047319889068607, | |
| 0.000712038269266487, | |
| 0.000500556565821171, | |
| 0.0007061286875978117, | |
| 0.0004980032444000244, | |
| 0.0014009467978030458, | |
| 0.0005179649147048622, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ] | |
| } |