Text-to-Image
MLX
Safetensors
lance
multimodal
apple-silicon
image-generation
video-generation
diffusion
flow-matching
Mixture of Experts
qwen2_5_vl
wan
port
Instructions to use RockTalk/Lance-3B-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RockTalk/Lance-3B-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Lance-3B-MLX RockTalk/Lance-3B-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 51f6b7fcb4cf785a604c6c7312717fee7c6dc2e8c1577ad8a9ed7e7c855d6e72
- Size of remote file:
- 24.7 GB
- SHA256:
- 5ede2f0a376096d51004dad85705938abbfe3cedb64e212631527e76b9547817
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.