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rlabz
/
quantum_tts

Text-to-Speech
PEFT
Safetensors
Swahili
English
tts
orpheus
swahili
kiswahili
snac
lora
unsloth
Model card Files Files and versions
xet
Community

Instructions to use rlabz/quantum_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use rlabz/quantum_tts with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/orpheus-3b-0.1-ft-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "rlabz/quantum_tts")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
quantum_tts
417 MB
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  • 1 contributor
History: 7 commits
rlabz's picture
rlabz
Upload model trained with Unsloth
7259b78 verified 14 days ago
  • .gitattributes
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  • README.md
    7.93 kB
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  • adapter_config.json
    1.31 kB
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  • adapter_model.safetensors
    389 MB
    xet
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  • chat_template.jinja
    3.83 kB
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  • tokenizer.json
    22.8 MB
    xet
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  • tokenizer_config.json
    5.4 MB
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