Instructions to use karthi12/test-hubert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karthi12/test-hubert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="karthi12/test-hubert-model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("karthi12/test-hubert-model") model = AutoModelForAudioClassification.from_pretrained("karthi12/test-hubert-model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1479c38a38ef87e82a23d79ad7f0361830826f82e700c23bdfd1758cee76130
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size 378308064
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