Update README.md

README.md

@@ -5,50 +5,11 @@ language:
 base_model:
 - UsefulSensors/moonshine
 pipeline_tag: automatic-speech-recognition
-library_name: torq
-tags:
-  - Automatic Speech Recognition
-  - Astra SL
-  - SL2600
-  - MPU
 ---
+# Moonshine Torq test models
 
-# Moonshine Tiny 
-
-## Model Overview
-
-Moonshine is a high-efficiency automatic speech recognition (ASR) model designed specifically for real-time speech recognition. Unlike Whisper, which processes audio in fixed 30-second chunks, Moonshine uses a variable-length architecture that only computes the actual duration of the speech received. 
-
-Useful Sensors developed Moonshine and released the English model as open-source. There are 2 models of different sizes and capabilities - base and tiny. The tiny version utilizes 27M parameters. 
-
-
-Moonshine Tiny has been optimized for the Synaptics Astra™ **SL2610-Series processors** with Torq NPU.
-
+Moonshine models for regression/performance testing. Derived from `UsefulSensors/moonshine`.
 
 ## Repository contents
 - `models/{bf16,quantized}/onnx`: Static ONNX models exported from [torq-tools](https://github.com/synaptics-torq/torq-tools).
 - `models/{bf16}/vmfb`: Compiled VMFB binaries for use in applications.
-
-
-## Model Features
-- **Model Type:** Automatic Speech Recognition
-- **Input:** Raw waveform (1D array of floats) 16kHz mono audio up to 30 seconds
-- **Output:** Sequence of token IDs (integers)
-
-
-## Deployment
-
-The compiled model files are available for download on Huggingface at [Synaptics/Moonshine](https://huggingface.co/Synaptics/Moonshine).
-
-Usage tutorial to be available in the future at [Synaptics AI Developer Zone](https://developer.synaptics.com/docs/sl/sl2600/introduction).
-
-
-## License
-
-Both the source model and the compiled model for on-device deployment are licensed under [MIT License](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md).
-
-## Learn More
-
-- [Synaptics AI Developer Zone](https://developer.synaptics.com?utm_source=hf): Get started with documentation, tutorials and resources for your Edge AI journey.
-- [Astra Support Portal](https://synacsm.atlassian.net/servicedesk/customer/portal/543?utm_source=hf): Connect with our engineering team and community.
-