Instructions to use aibtw/circor_wav2vec_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aibtw/circor_wav2vec_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="aibtw/circor_wav2vec_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("aibtw/circor_wav2vec_model") model = AutoModelForAudioClassification.from_pretrained("aibtw/circor_wav2vec_model") - 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:b935b05b7c1531316531e8d75fbedc5571d742cca4aee25a646547c86a760647
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size 378303340
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