Transformers
TensorBoard
Safetensors
pyannet
speaker-diarization
speaker-segmentation
Generated from Trainer
Instructions to use tgrhn/speaker-segmentation-fine-tuned-ami-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tgrhn/speaker-segmentation-fine-tuned-ami-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tgrhn/speaker-segmentation-fine-tuned-ami-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9857bef7f53514394c4c26bbfccc8e2392b7f26065aded8ddb7e18737239eda
- Size of remote file:
- 5.05 kB
- SHA256:
- 4ca4e150141d24de3c5cee874f92b7779ad9cd9dcb9828e9aec982b2a0123a58
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