Transformers
TensorBoard
Safetensors
Indonesian
pyannet
speaker-diarization
speaker-segmentation
modality:audio
modality:text
format:parquet
Generated from Trainer
Instructions to use whitneyten/pydiarize-synthetic-data-updated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitneyten/pydiarize-synthetic-data-updated with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("whitneyten/pydiarize-synthetic-data-updated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c785c6b7f446a3f58bc82f2c26b6f1837eb5691cf0ea6f6a8a6e4302a7bd889
- Size of remote file:
- 5.37 kB
- SHA256:
- 6a54618b161005ed6d6adf42cbf1161ef7fea7b92528d6e3bc2ce879376f4541
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