Instructions to use Avdpro/AVTR-1-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/AVTR-1-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Avdpro/AVTR-1-MLX --local-dir AVTR-1-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download conversion.json from Avdpro/AVTR-1-MLX: direct link, hf CLI and curl.
- Browser
- Download file 388 Bytes
-
https://huggingface.co/Avdpro/AVTR-1-MLX/resolve/main/conversion.json
- Command line
-
hf download hf://Avdpro/AVTR-1-MLX/conversion.json
-
curl -L -o conversion.json https://huggingface.co/Avdpro/AVTR-1-MLX/resolve/main/conversion.json
388 Bytes
| { | |
| "source_repo": "avaturn-live/avtr-1", | |
| "source_revision": "4c9bd5550f2617d0409ac602f75378502f675731", | |
| "source_sha256": "c345fb1e84eabee3c247533b74e020f918eeec86febe5928fe16f8935572aed3", | |
| "weights_sha256": "d31745d038cf760c604e8297c79af7b8fdf67cb57908dcfd9e3177e11d1c8f73", | |
| "config_sha256": "e5a3d252a3fc1f9df55ffbb22254267c7d9a2a88b1c84bf1ab5646a128666e1d", | |
| "tensors": 1315 | |
| } |