Instructions to use jaeihn/kws_embedding_bilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaeihn/kws_embedding_bilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="jaeihn/kws_embedding_bilingual")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("jaeihn/kws_embedding_bilingual") model = AutoModelForAudioClassification.from_pretrained("jaeihn/kws_embedding_bilingual") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:9b5c95c1de764bce1ba028e8b1ad58fc35e565eda120046da69681f23be37c86
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size 26939756
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