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
| { | |
| "finetune_method": "finetune", | |
| "fold_idx": 1, | |
| "freeze_params": true, | |
| "hidden_dim": 256, | |
| "id2label": null, | |
| "label_list": [ | |
| "derhotic", | |
| "rhotic" | |
| ], | |
| "load_pretrained": true, | |
| "lora_rank": 16, | |
| "max_audio_duration": 15, | |
| "output_class_num": 2, | |
| "pretrain_model": "babyhubert" | |
| } |