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Henil1
/
rumik-oss-1-FP8-Dynamic

Text-to-Speech
Transformers
Safetensors
rumik_oss
text-generation
fp8
quantized
compressed-tensors
llmcompressor
tts
indic
expressive
mimi
speech
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Henil1/rumik-oss-1-FP8-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Henil1/rumik-oss-1-FP8-Dynamic with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Henil1/rumik-oss-1-FP8-Dynamic", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("Henil1/rumik-oss-1-FP8-Dynamic", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
rumik-oss-1-FP8-Dynamic
3.98 GB
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  • 1 contributor
History: 2 commits
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Henil1
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  • LICENSE
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  • NOTICE
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  • README.md
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  • config.json
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  • configuration_rumik_oss.py
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  • generation_config.json
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  • model.safetensors
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  • modeling_rumik_oss.py
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  • recipe.yaml
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  • tokenizer.json
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  • tokenizer_config.json
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