Instructions to use balaji1312/hubert_myst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use balaji1312/hubert_myst with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="balaji1312/hubert_myst")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("balaji1312/hubert_myst") model = AutoModel.from_pretrained("balaji1312/hubert_myst", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): f3a5e23
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "
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"activation_dropout": 0.1,
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"apply_spec_augment": true,
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"architectures": [
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{
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"_name_or_path": "facebook/hubert-base-ls960",
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"activation_dropout": 0.1,
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"apply_spec_augment": true,
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"architectures": [
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