Instructions to use huggingnft/mini-mutants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingnft/mini-mutants with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huggingnft/mini-mutants", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from huggingnft/mini-mutants: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
-
https://huggingface.co/huggingnft/mini-mutants/resolve/bebfeb84ebfb55c3100260c85c0c8139be61b0d1/config.json
- Command line
-
hf download hf://huggingnft/mini-mutants@bebfeb84ebfb55c3100260c85c0c8139be61b0d1/config.json
-
curl -L -o config.json https://huggingface.co/huggingnft/mini-mutants/resolve/bebfeb84ebfb55c3100260c85c0c8139be61b0d1/config.json
248 Bytes
| {"latent_dim": 256, "image_size": 256, "optimizer": "adam", "fmap_max": 512, "fmap_inverse_coef": 12, "transparent": false, "greyscale": false, "disc_output_size": 1, "attn_res_layers": [32], "freq_chan_attn": false, "ttur_mult": 1.0, "lr": 0.0002} |