Instructions to use dnnsdunca/UANN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use dnnsdunca/UANN with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("dnnsdunca/UANN", set_active=True) - Notebooks
- Google Colab
- Kaggle
| filter: [ | |
| { | |
| bool: { | |
| /// Include documents that match at least one of the following rules | |
| should: [ | |
| /// Downloaded from diffusers lib | |
| { | |
| term: { path: "model_index.json" }, | |
| }, | |
| /// Direct downloads (LoRa, Auto1111 and others) | |
| /// Filter out nested safetensors and pickle weights to avoid double counting downloads from the diffusers lib | |
| { | |
| regexp: { path: "[^/]*\\.safetensors" }, | |
| }, | |
| { | |
| regexp: { path: "[^/]*\\.ckpt" }, | |
| }, | |
| { | |
| regexp: { path: "[^/]*\\.bin" }, | |
| }, | |
| ], | |
| minimum_should_match: 1, | |
| }, | |
| }, | |
| ] | |
| } |