Instructions to use UsefulSensors/moonshine-tiny-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsefulSensors/moonshine-tiny-ja with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UsefulSensors/moonshine-tiny-ja")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("UsefulSensors/moonshine-tiny-ja") model = AutoModelForSpeechSeq2Seq.from_pretrained("UsefulSensors/moonshine-tiny-ja") - Notebooks
- Google Colab
- Kaggle
Update license and GitHub repository link
#1
by nielsr HF Staff - opened
This PR improves the model card for moonshine-tiny-ja by:
- Updating the license in the metadata from
othertoapache-2.0for greater clarity and adherence to common open-source practices. - Correcting the link to the official GitHub repository, ensuring users can easily find the source code at
https://github.com/moonshine-ai/moonshine.
Thanks, updated it
theadamsabra changed pull request status to merged