Instructions to use Ar4ikov/W2VFSC2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ar4ikov/W2VFSC2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Ar4ikov/W2VFSC2")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Ar4ikov/W2VFSC2") model = AutoModelForAudioClassification.from_pretrained("Ar4ikov/W2VFSC2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:9234b46d25f95bf29cbae73c0e3b82cd099ce954dc60fc9073cae9f5bc8e97c7
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size 1266034708
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