Audio Classification
Transformers
Safetensors
multilingual
model_hub_mixin
pytorch_model_hub_mixin
child_speech
child_vocalization
speech_maturity
Instructions to use tiantiaf/childvox-percept_r-babyhubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiantiaf/childvox-percept_r-babyhubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="tiantiaf/childvox-percept_r-babyhubert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tiantiaf/childvox-percept_r-babyhubert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 330d56d775ada8e0dea0ae841237ec2fb5d03f812af92d2755497533d502d1b0
- Size of remote file:
- 380 MB
- SHA256:
- a61765ef87e44f106634dd41ded03a33438d54587467e0dbc26bed942ce85b5a
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