Instructions to use inclusionAI/Ming-flash-omni-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use inclusionAI/Ming-flash-omni-2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("inclusionAI/Ming-flash-omni-2.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Question about rope_scaling.factor (as null) in config.json
π€ 1
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#11 opened 3 months ago
by
Jonathan1909
Ming-flash-omni-2.0-GGUF or Support Llama.cpp ?
1
#10 opened 3 months ago
by
Rebis
Is there a link to try out the voice function of this model?
π€ 1
1
#9 opened 3 months ago
by
pigceo
Could you provide the official NVFP4 version? Dear friend.
1
#6 opened 4 months ago
by
win10
Any Chance of GGUF Quantizations?
π 6
2
#5 opened 4 months ago
by
facehuggerfromspace
Video of Step-by-Step Review
π€ 1
1
#4 opened 4 months ago
by
fahdmirzac
vLLM inference
β 2
2
#3 opened 4 months ago
by
orange0318