Instructions to use UsefulSensors/moonshine-tiny-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsefulSensors/moonshine-tiny-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-tiny-zh")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-tiny-zh") model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-tiny-zh") - Notebooks
- Google Colab
- Kaggle
Update GitHub repository link
#1
by nielsr HF Staff - opened
This PR updates the GitHub repository link at the top of the model card from [[Installation]](https://github.com/usefulsensors/moonshine/blob/main/README.md) to [[Code]](https://github.com/moonshine-ai/moonshine). This change provides a more direct link to the project's main code repository, improving discoverability and ease of access for users.
All other metadata and content sections remain unchanged as they are consistent with the paper Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices and the current information available.
theadamsabra changed pull request status to merged