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
(Trained with Unsloth)
Browse files- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d14a37a8f1079c10fb7a187f90e2bda13aa6ae2cb12b80da0e75fc163dc4fa52
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size 4153376052
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