Instructions to use slprl/mhubert-base-25hz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slprl/mhubert-base-25hz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="slprl/mhubert-base-25hz")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("slprl/mhubert-base-25hz") model = AutoModel.from_pretrained("slprl/mhubert-base-25hz") - Notebooks
- Google Colab
- Kaggle
[Request]: Add Feature Extractor and update the model card
#2
by ylacombe - opened
Hey:)
About the links and transformers version - I was waiting for the PR to be officially merged (so I will link the test files etc), and for the transformer version I will of course wait for official release of a version with this code. I can add a comment that it currently only works with a clone of the repo and will be integrated in coming versions of the package. Does that sound okay?
About the feature extractor - Done :) It is exactly the same as facebook/hubert-base-ls960
Now that the model is officially supported in transformers=4.48 I updated the readme and am closing the issue:)
gallilmaimon changed discussion status to closed