Instructions to use IAHispano/Applio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IAHispano/Applio with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IAHispano/Applio", dtype="auto") - Notebooks
- Google Colab
- Kaggle
rename files
Browse files- Resources/embedders/chinese_hubert_base/{chinese_hubert_base_config.json β config.json} +0 -0
- Resources/embedders/chinese_hubert_base/{chinese_hubert_base.bin β pytorch_model.bin} +0 -0
- Resources/embedders/contentvec/{contentvec_config.json β config.json} +0 -0
- Resources/embedders/contentvec/{contentvec.bin β pytorch_model.bin} +0 -0
- Resources/embedders/japanese_hubert_base/{japanese_hubert_base_config.json β config.json} +0 -0
- Resources/embedders/japanese_hubert_base/{japanese_hubert_base.bin β pytorch_model.bin} +0 -0
- Resources/embedders/korean_hubert_base/{korean_hubert_base_config.json β config.json} +0 -0
- Resources/embedders/korean_hubert_base/{korean_hubert_base.bin β pytorch_model.bin} +0 -0
Resources/embedders/chinese_hubert_base/{chinese_hubert_base_config.json β config.json}
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Resources/embedders/chinese_hubert_base/{chinese_hubert_base.bin β pytorch_model.bin}
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Resources/embedders/contentvec/{contentvec_config.json β config.json}
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Resources/embedders/contentvec/{contentvec.bin β pytorch_model.bin}
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Resources/embedders/japanese_hubert_base/{japanese_hubert_base_config.json β config.json}
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Resources/embedders/japanese_hubert_base/{japanese_hubert_base.bin β pytorch_model.bin}
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Resources/embedders/korean_hubert_base/{korean_hubert_base_config.json β config.json}
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Resources/embedders/korean_hubert_base/{korean_hubert_base.bin β pytorch_model.bin}
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