Instructions to use Willy030125/Whisper-base-minds14-ForClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Willy030125/Whisper-base-minds14-ForClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Willy030125/Whisper-base-minds14-ForClassification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Willy030125/Whisper-base-minds14-ForClassification") model = AutoModelForAudioClassification.from_pretrained("Willy030125/Whisper-base-minds14-ForClassification") - 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:cf9deebbd53989ced26b84c5a0abb37ea3d6308d2ad4d37833c2ff1794df9a4d
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size 82912608
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