Transformers
TensorBoard
Safetensors
Bengali
pyannet
speaker-diarization
speaker-segmentation
bangla
bengali
pyannote
audio
Generated from Trainer
Instructions to use Sam3000/OUTPUT_DIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sam3000/OUTPUT_DIR with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sam3000/OUTPUT_DIR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.yaml
Browse files- config.yaml +1 -1
config.yaml
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@@ -7,7 +7,7 @@ pipeline:
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embedding: pyannote/wespeaker-voxceleb-resnet34-LM
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embedding_batch_size: 32
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embedding_exclude_overlap: true
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segmentation:
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segmentation_batch_size: 32
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params:
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embedding: pyannote/wespeaker-voxceleb-resnet34-LM
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embedding_batch_size: 32
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embedding_exclude_overlap: true
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segmentation: pyannote/segmentation-3.0
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segmentation_batch_size: 32
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params:
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