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:
- f4b8eacbf0851afb742deac8809ef84999cfb3b632c5ce34d2ac9331e05a6e18
- Size of remote file:
- 380 MB
- SHA256:
- 7ef49179258faf3bde14311aaf498581f358d7a26520bac85dc05db30827c075
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