Instructions to use Avdpro/FlashHead-Lite-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/FlashHead-Lite-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Avdpro/FlashHead-Lite-MLX --local-dir FlashHead-Lite-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download Model_Lite/config.json from Avdpro/FlashHead-Lite-MLX: direct link, hf CLI and curl.
- Browser
- Download file 357 Bytes
-
https://huggingface.co/Avdpro/FlashHead-Lite-MLX/resolve/main/Model_Lite/config.json
- Command line
-
hf download hf://Avdpro/FlashHead-Lite-MLX/Model_Lite/config.json
-
curl -L -o config.json https://huggingface.co/Avdpro/FlashHead-Lite-MLX/resolve/main/Model_Lite/config.json
357 Bytes
| { | |
| "_class_name": "WanModelAudioProject", | |
| "_diffusers_version": "0.36.0", | |
| "dim": 1536, | |
| "eps": 1e-06, | |
| "ffn_dim": 8960, | |
| "freq_dim": 256, | |
| "has_image_input": false, | |
| "in_dim": 256, | |
| "num_heads": 12, | |
| "num_layers": 30, | |
| "out_dim": 128, | |
| "patch_size": [ | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| "text_dim": 4096, | |
| "vae_stride": [ | |
| 8, | |
| 32, | |
| 32 | |
| ] | |
| } | |