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

hyperneuronAILabs
/
quipus-0.6-speechv1

Text-to-Speech
Transformers
Safetensors
qwen3
text-generation
tts
speech
audio
multilingual
indian-languages
unsloth
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use hyperneuronAILabs/quipus-0.6-speechv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hyperneuronAILabs/quipus-0.6-speechv1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="hyperneuronAILabs/quipus-0.6-speechv1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("hyperneuronAILabs/quipus-0.6-speechv1")
    model = AutoModelForCausalLM.from_pretrained("hyperneuronAILabs/quipus-0.6-speechv1")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use hyperneuronAILabs/quipus-0.6-speechv1 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 hyperneuronAILabs/quipus-0.6-speechv1 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 hyperneuronAILabs/quipus-0.6-speechv1 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for hyperneuronAILabs/quipus-0.6-speechv1 to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="hyperneuronAILabs/quipus-0.6-speechv1",
        max_seq_length=2048,
    )
quipus-0.6-speechv1
1.24 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
nikhilhyperneuron's picture
nikhilhyperneuron
Update README.md
9e36a94 verified about 7 hours ago
  • artifacts
    Upload Quipus version 1 about 16 hours ago
  • .gitattributes
    1.84 kB
    Upload Quipus version 1 about 16 hours ago
  • README.md
    6.22 kB
    Update README.md about 7 hours ago
  • added_tokens.json
    354 kB
    Upload Quipus version 1 about 16 hours ago
  • config.json
    1.48 kB
    Upload Quipus version 1 about 16 hours ago
  • generation_config.json
    150 Bytes
    Upload Quipus version 1 about 16 hours ago
  • logo.png
    25.7 kB
    Upload Quipus version 1 about 16 hours ago
  • merges.txt
    1.67 MB
    Upload Quipus version 1 about 16 hours ago
  • model.safetensors
    1.22 GB
    xet
    Upload Quipus version 1 about 16 hours ago
  • special_tokens_map.json
    372 Bytes
    Upload Quipus version 1 about 16 hours ago
  • tokenizer.json
    13.8 MB
    xet
    Upload Quipus version 1 about 16 hours ago
  • tokenizer_config.json
    2.24 MB
    Upload Quipus version 1 about 16 hours ago
  • vocab.json
    2.78 MB
    Upload Quipus version 1 about 16 hours ago