Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Gander-Omni
/
Gander

Text-to-Speech
Transformers
ONNX
Safetensors
multimodal
audio
video
conversational
full-duplex
function-calling
gander
Model card Files Files and versions
xet
Community

Instructions to use Gander-Omni/Gander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Gander-Omni/Gander with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Gander-Omni/Gander")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Gander-Omni/Gander", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Gander
20 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
Gander-Omni's picture
Gander-Omni
Upload README.md with huggingface_hub
24fc4cc verified about 14 hours ago
  • talker
    Upload folder using huggingface_hub 2 days ago
  • thinker
    Upload folder using huggingface_hub 2 days ago
  • .gitattributes
    1.64 kB
    Upload folder using huggingface_hub 2 days ago
  • README.md
    6.24 kB
    Upload README.md with huggingface_hub about 14 hours ago
  • release_manifest.json
    1.66 kB
    Upload folder using huggingface_hub 2 days ago