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/grasp_classify/norm_stat.json from NeoteAI/n0-twam-task-specific: direct link, hf CLI and curl.
- Browser
- Download file 757 Bytes
-
https://huggingface.co/NeoteAI/n0-twam-task-specific/resolve/main/norm/grasp_classify/norm_stat.json
- Command line
-
hf download hf://NeoteAI/n0-twam-task-specific/norm/grasp_classify/norm_stat.json
-
curl -L -o norm_stat.json https://huggingface.co/NeoteAI/n0-twam-task-specific/resolve/main/norm/grasp_classify/norm_stat.json
757 Bytes
| { | |
| "q01": [ | |
| -0.0009281560778617859, | |
| -0.027640785090625286, | |
| -0.017067767679691315, | |
| -0.000699654221534729, | |
| -0.005051341955550015, | |
| -0.027868788689374924, | |
| -0.00540764385368675, | |
| -0.00016613304615020752, | |
| -0.011494637001305819, | |
| 0.006518681067973375, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0, | |
| -1.0 | |
| ], | |
| "q99": [ | |
| 0.027635589241981506, | |
| 0.028049328830093145, | |
| -1.7356127500534058e-05, | |
| 0.0007091760635375977, | |
| 0.005778091959655285, | |
| 0.02487286739051342, | |
| 0.00612814212217927, | |
| 0.0001230388879776001, | |
| 0.010497547686100006, | |
| 0.0074765561148524284, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ] | |
| } |