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:
# 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
File size: 302 Bytes
3a1df72 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"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"
} |