Audio Classification
Transformers
PyTorch
English
wav2vec2
pretraining
non-verbal-vocalization
baby-crying
Instructions to use alkiskoudounas/voc2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alkiskoudounas/voc2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="alkiskoudounas/voc2vec")# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("alkiskoudounas/voc2vec") model = AutoModelForPreTraining.from_pretrained("alkiskoudounas/voc2vec") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c31107c28cdfddfc99a36c20bc16bcd62d6704cc969938b048d08a017e0b0f7
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size 380204696
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