Any-to-Any
Transformers
Safetensors
English
xoron
multimodal
Mixture of Experts
text-to-image
image editing
image to video
text-to-video
video editing
text-to-speech
speech-to-text
speech-to-speech
image-to-text
video-to-text
agentic
tool-use
flow-matching
3d-rope
titok
vidtok
dual-stream-attention
zero-shot-voice-cloning
bigvgan
snake-activation
multi-receptive-field-fusion
custom_code
Instructions to use Backup-bdg/Xoron-Dev-MultiMoe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Backup-bdg/Xoron-Dev-MultiMoe with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Backup-bdg/Xoron-Dev-MultiMoe", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download components.json from Backup-bdg/Xoron-Dev-MultiMoe: direct link, hf CLI and curl.
- Browser
- Download file 302 Bytes
-
https://huggingface.co/Backup-bdg/Xoron-Dev-MultiMoe/resolve/main/components.json
- Command line
-
hf download hf://Backup-bdg/Xoron-Dev-MultiMoe/components.json
-
curl -L -o components.json https://huggingface.co/Backup-bdg/Xoron-Dev-MultiMoe/resolve/main/components.json
302 Bytes
| { | |
| "components": [ | |
| "llm", | |
| "vision_encoder", | |
| "video_encoder", | |
| "audio_encoder", | |
| "audio_decoder", | |
| "projector", | |
| "audio_projector", | |
| "cross_attention", | |
| "generator", | |
| "video_generator", | |
| "waveform_decoder", | |
| "modality_markers" | |
| ], | |
| "save_format": "components" | |
| } |