Instructions to use ScreamingTony/AffectF5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use ScreamingTony/AffectF5 with F5-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Pin release checksums
Browse files- config.yaml +2 -1
config.yaml
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@@ -2,11 +2,13 @@ base:
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repo_id: SWivid/F5-TTS
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subfolder: F5TTS_v1_Base
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checkpoint: model_1250000.safetensors
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vocab: vocab.txt
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adapter:
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repo_id: ScreamingTony/AffectF5
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filename: affectf5_c7_adapter.safetensors
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model:
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dim: 1024
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@@ -68,4 +70,3 @@ inference:
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sway_sampling_coef: -1.0
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sample_rate: 24000
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hop_length: 256
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repo_id: SWivid/F5-TTS
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subfolder: F5TTS_v1_Base
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checkpoint: model_1250000.safetensors
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sha256: 670900fd14e6c458b95da6e9ed317cdb20dbaf7a1c02ac06a05475a9d32b6a38
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vocab: vocab.txt
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adapter:
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repo_id: ScreamingTony/AffectF5
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filename: affectf5_c7_adapter.safetensors
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sha256: 26dd9fdc69395e8a937feadb3417e5503667eaedb6a85b12b26d0374a58f253f
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model:
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dim: 1024
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sway_sampling_coef: -1.0
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sample_rate: 24000
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hop_length: 256
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