Instructions to use walton98/model_out3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use walton98/model_out3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="walton98/model_out3")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("walton98/model_out3") model = AutoModelForAudioClassification.from_pretrained("walton98/model_out3") - 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 sha256:9989e6686edea97bc6137c6b849cc142d3c1cd09c65fbe44aeeb00e02b6d0f51
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size 378303340
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