Instructions to use huggingnft/hapeprime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingnft/hapeprime with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huggingnft/hapeprime", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_config.json from huggingnft/hapeprime: direct link, hf CLI and curl.
- Browser
- Download file 178 Bytes
-
https://huggingface.co/huggingnft/hapeprime/resolve/main/training_config.json
- Command line
-
hf download hf://huggingnft/hapeprime/training_config.json
-
curl -L -o training_config.json https://huggingface.co/huggingnft/hapeprime/resolve/main/training_config.json
178 Bytes
| {"image_size": 256, "transparent": false, "greyscale": false, "syncbatchnorm": true, "disc_output_size": 1, "optimizer": "adam", "attn_res_layers": [32], "freq_chan_attn": false} |