Instructions to use m-a-p/MERT-v1-330M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-a-p/MERT-v1-330M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="m-a-p/MERT-v1-330M", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m-a-p/MERT-v1-330M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Are there any plans to distribute the checkpoint files trained on each downstream task?
#5
by itsuki1021 - opened
Are there any plans to distribute the checkpoint files trained on each downstream task?
I would like to use the models from some of the downstream tasks, but some of the datasets are large and take a long time to download, so if you don't mind, could you please publish the models from the downstream tasks?