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
Push model using huggingface_hub.
Browse files- README.md +10 -0
- config.json +16 -0
- fold_1/model.safetensors +3 -0
README.md
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---
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tags:
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- model_hub_mixin
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- pytorch_model_hub_mixin
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---
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- Code: https://github.com/tiantiaf0627/childvox-release
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- Paper: [More Information Needed]
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- Docs: [More Information Needed]
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config.json
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{
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"finetune_method": "finetune",
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"fold_idx": 1,
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"freeze_params": true,
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"hidden_dim": 256,
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"id2label": null,
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"label_list": [
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"derhotic",
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"rhotic"
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],
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"load_pretrained": true,
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"lora_rank": 16,
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"max_audio_duration": 15,
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"output_class_num": 2,
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"pretrain_model": "babyhubert"
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}
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fold_1/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9dabf2180190f828250cbf0c83eb258cd28f1265eb4cbb2af6b72eae4ab354c5
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size 380397896
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