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SoumilR
/
MySesame

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

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

  • Libraries
  • Transformers

    How to use SoumilR/MySesame with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="SoumilR/MySesame")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToWaveform
    
    processor = AutoProcessor.from_pretrained("SoumilR/MySesame")
    model = AutoModelForTextToWaveform.from_pretrained("SoumilR/MySesame", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
MySesame
4.17 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
SoumilR's picture
SoumilR
Rename preprocessor_config.json to processor_config.json
895ad71 verified 10 months ago
  • .gitattributes
    1.57 kB
    (Trained with Unsloth) 10 months ago
  • README.md
    548 Bytes
    Unsloth Model Card 10 months ago
  • chat_template.jinja
    2 kB
    (Trained with Unsloth) 10 months ago
  • config.json
    3.15 kB
    (Trained with Unsloth) 10 months ago
  • model.safetensors
    4.15 GB
    xet
    (Trained with Unsloth) 10 months ago
  • processor_config.json
    271 Bytes
    Rename preprocessor_config.json to processor_config.json 10 months ago
  • special_tokens_map.json
    449 Bytes
    (Trained with Unsloth) 10 months ago
  • tokenizer.json
    17.2 MB
    xet
    (Trained with Unsloth) 10 months ago
  • tokenizer_config.json
    52.6 kB
    (Trained with Unsloth) 10 months ago