Instructions to use stabilityai/stable-audio-3-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Stable Audio 3
How to use stabilityai/stable-audio-3-optimized with Stable Audio 3:
# 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
Add T5Gemma SentencePiece tokenizer.model
Browse filesAdds the SentencePiece `tokenizer.model` for the T5Gemma text encoder already published here under `tflite/t5gemma/encoder_fp16.tflite`.
**Why:** the encoder is here but the tokenizer that pairs with it is not, so anything consuming the TFLite text-conditioning path can't tokenise without going to `google/t5gemma-b-b-ul2` directly — which is gated (manual approval) and 401s unauthenticated. That defeats the purpose of re-hosting these weights, which was so users wouldn't have to accept Google's licence on HF themselves.
Concretely this is blocking the Stable Audio plugin's release pipeline: it can build the on-device model installers from this repo except for the tokenizer, which currently has to be copied off a laptop.
**Provenance:** byte-identical to `google/t5gemma-b-b-ul2`'s copy, verified before upload.
```
size: 4241003
sha256: 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
```
Unmodified — no conversion, no re-export.
**Licence:** same class of redistribution as the encoder already in this repo. `LICENSE_GEMMA.md` and `NOTICE` are present and cover it, so no licensing changes needed.
Root rather than under `tflite/`, since the tokenizer is shared across the MLX, tensorRT, cpu-amx and TFLite backends — happy to move it if you'd rather it sat elsewhere.
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version https://git-lfs.github.com/spec/v1
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oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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size 4241003
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