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
Adds 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 β 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 β 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 β happy to move it if you'd rather it sat elsewhere.
refs/pr/8 ref