Instructions to use UsefulSensors/moonshine-tiny-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsefulSensors/moonshine-tiny-uk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-tiny-uk")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-tiny-uk") model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-tiny-uk") - Notebooks
- Google Colab
- Kaggle
Update license, paper title, and code repository link
#1
by nielsr HF Staff - opened
This PR improves the model card for UsefulSensors/moonshine-tiny-uk by:
- Updating the
licensemetadata fromothertoapache-2.0, reflecting the permissive open-source license often associated with the Moonshine project. - Adding the full paper title "Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices" for better discoverability.
- Updating the code repository link from a specific README file to the root of the
https://github.com/usefulsensors/moonshineGitHub repository, providing a more direct and canonical link for the model's code, and changing the link label to[[Code]].
These changes enhance the accuracy, clarity, and completeness of the model card.