Feature Extraction
Transformers
Safetensors
sincnet
audio
voice-activity-detection
speaker-recognition
speaker-segmentation
arxiv:1808.00158
custom_code
Instructions to use D4ve-R/sincnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use D4ve-R/sincnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="D4ve-R/sincnet", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("D4ve-R/sincnet", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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library_name: transformers
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- audio
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- arxiv:1808.00158
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license: mit
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library_name: transformers
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tags:
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- audio
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- voice-activity-detection
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- speaker-recognition
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- speaker-segmentation
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- feature-extraction
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license: mit
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