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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

demo-time
/
kevin-conroy

Text-to-Audio
Transformers
Safetensors
English
csm
text-generation-inference
unsloth
Model card Files Files and versions
xet
Community

Instructions to use demo-time/kevin-conroy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use demo-time/kevin-conroy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="demo-time/kevin-conroy")
    # Load model directly
    from transformers import AutoFeatureExtractor, AutoModelForTextToWaveform
    
    extractor = AutoFeatureExtractor.from_pretrained("demo-time/kevin-conroy")
    model = AutoModelForTextToWaveform.from_pretrained("demo-time/kevin-conroy")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use demo-time/kevin-conroy with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for demo-time/kevin-conroy to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for demo-time/kevin-conroy to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for demo-time/kevin-conroy to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="demo-time/kevin-conroy",
        max_seq_length=2048,
    )
kevin-conroy
4.17 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
aleks-seku10's picture
aleks-seku10
Upload config.json with huggingface_hub
d0ec40f verified 8 months ago
  • .gitattributes
    1.57 kB
    (Trained with Unsloth) 8 months ago
  • README.md
    550 Bytes
    Unsloth Model Card 8 months ago
  • chat_template.jinja
    2 kB
    (Trained with Unsloth) 8 months ago
  • config.json
    3.15 kB
    Upload config.json with huggingface_hub 8 months ago
  • generation_config.json
    264 Bytes
    Upload generation_config.json with huggingface_hub 8 months ago
  • model.safetensors
    4.15 GB
    xet
    (Trained with Unsloth) 8 months ago
  • preprocessor_config.json
    271 Bytes
    (Trained with Unsloth) 8 months ago
  • special_tokens_map.json
    449 Bytes
    (Trained with Unsloth) 8 months ago
  • tokenizer.json
    17.2 MB
    xet
    (Trained with Unsloth) 8 months ago
  • tokenizer_config.json
    50.6 kB
    (Trained with Unsloth) 8 months ago