Instructions to use DevAsService/SesameSherlockHolmes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DevAsService/SesameSherlockHolmes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="DevAsService/SesameSherlockHolmes")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("DevAsService/SesameSherlockHolmes") model = AutoModelForTextToWaveform.from_pretrained("DevAsService/SesameSherlockHolmes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Unsloth Model Card
Browse files
README.md
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license: apache-2.0
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# Uploaded model
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- **Developed by:** DevAsService
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- **License:** apache-2.0
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- transformers
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- unsloth
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- csm
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license: apache-2.0
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language:
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# Uploaded finetuned model
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- **Developed by:** DevAsService
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- **License:** apache-2.0
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