Instructions to use dima806/music_genres_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/music_genres_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="dima806/music_genres_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("dima806/music_genres_classification") model = AutoModelForAudioClassification.from_pretrained("dima806/music_genres_classification") - Notebooks
- Google Colab
- Kaggle
Request: DOI
#2
by arthur-capozzi - opened
I would like to cite this model in a scintific paper. Could you generate a DOI so I can properly cite it? Thanks
Hi @arthur-capozzi - unfortunately, DOI generation requires certain restrictions for a HF based model that I do not plan to take.
You are still welcome to use it according the Apache 2.0 license.
dima806 changed discussion status to closed
Okay, I didn't know that. BTW thanks for your answer