Instructions to use facebook/hubert-base-ls960 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/hubert-base-ls960 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/hubert-base-ls960")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/hubert-base-ls960") model = AutoModel.from_pretrained("facebook/hubert-base-ls960") - Notebooks
- Google Colab
- Kaggle
Add TF model
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:69aa0f4ecca57ff769e4b62777d58cd4ea7fb43a4a45a42379b20c37daec929e
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size 377736104
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