Update README.md

README.md

@@ -1,22 +1,24 @@
 ---
 language:
-  - ja
-  - en
+- ja
+- en
 license: other
 license_name: audio-jev-mixed-terms
-license_link: https://huggingface.co/mocomoco-inc/AudioJev-AudioDecisionModel/blob/main/LICENSE.md
+license_link: >-
+  https://huggingface.co/mocomoco-inc/AudioJev-AudioDecisionModel/blob/main/LICENSE.md
 base_model:
-  - Qwen/Qwen3-ASR-0.6B
-  - laion/clap-htsat-unfused
-  - sbintuitions/modernbert-ja-30m
-  - sbintuitions/modernbert-ja-130m
+- Qwen/Qwen3-ASR-0.6B
+- laion/clap-htsat-unfused
+- sbintuitions/modernbert-ja-30m
+- sbintuitions/modernbert-ja-130m
 tags:
-  - audio-jev
-  - audio-classification
-  - automatic-speech-recognition
-  - japanese
-  - on-device
-  - onnx
+- audio-jev
+- audio-classification
+- automatic-speech-recognition
+- japanese
+- on-device
+- onnx
+- decision-model
 ---
 
 # AudioJev-AudioDecisionModel
@@ -97,4 +99,4 @@ The Cloud configuration combines [Qwen/Qwen3-ASR-0.6B](https://huggingface.co/Qw
 
 The public Cloud demo runs on CPU and uses ASR for language tasks that need a transcript. Edge AI uses the Qwen3-ASR **audio encoder without its ASR decoder**: it scores audio features against the question and answer options directly, without transcribing the clip. The two modes share an input/output contract and routing design, but Edge AI is not a quantized copy of the entire Cloud pipeline.
 
-The repository also contains model components trained by mocomoco inc. [Qwen/Qwen3-ASR-0.6B](https://huggingface.co/Qwen/Qwen3-ASR-0.6B) and [laion/clap-htsat-unfused](https://huggingface.co/laion/clap-htsat-unfused) declare Apache-2.0, while [sbintuitions/modernbert-ja-30m](https://huggingface.co/sbintuitions/modernbert-ja-30m) and [sbintuitions/modernbert-ja-130m](https://huggingface.co/sbintuitions/modernbert-ja-130m) declare MIT. See [LICENSE.md](LICENSE.md), [`licenses/`](licenses/), and [MANIFEST.json](MANIFEST.json) for component provenance and notices. The design draws inspiration from [Jev / TypeSafe AI](https://typesafe.ai/blog/introducing-system-one-models-and-jev) and [OpenJev / SemIf](https://github.com/TheoLeeCJ/SemIf).
+The repository also contains model components trained by mocomoco inc. [Qwen/Qwen3-ASR-0.6B](https://huggingface.co/Qwen/Qwen3-ASR-0.6B) and [laion/clap-htsat-unfused](https://huggingface.co/laion/clap-htsat-unfused) declare Apache-2.0, while [sbintuitions/modernbert-ja-30m](https://huggingface.co/sbintuitions/modernbert-ja-30m) and [sbintuitions/modernbert-ja-130m](https://huggingface.co/sbintuitions/modernbert-ja-130m) declare MIT. See [LICENSE.md](LICENSE.md), [`licenses/`](licenses/), and [MANIFEST.json](MANIFEST.json) for component provenance and notices. The design draws inspiration from [Jev / TypeSafe AI](https://typesafe.ai/blog/introducing-system-one-models-and-jev) and [OpenJev / SemIf](https://github.com/TheoLeeCJ/SemIf).