Instructions to use SHENMU007/neunit-ks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit-ks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="SHENMU007/neunit-ks")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("SHENMU007/neunit-ks") model = AutoModelForAudioClassification.from_pretrained("SHENMU007/neunit-ks") - 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 sha256:21aa6b2e574abcfb7605ce9d30f795b967be7f2229a1048ed58b7352dcf83544
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size 378304368
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