Instructions to use jaeihn/kws_embedding_cn30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaeihn/kws_embedding_cn30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="jaeihn/kws_embedding_cn30")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("jaeihn/kws_embedding_cn30") model = AutoModelForAudioClassification.from_pretrained("jaeihn/kws_embedding_cn30") - 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:d61f67deb5ec0b073590a1d7333cc752a1e235133843f8f646acb2cda1202a21
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size 26939756
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