Instructions to use MagicLuke/ecapa-tdnn-speaker-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MagicLuke/ecapa-tdnn-speaker-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="MagicLuke/ecapa-tdnn-speaker-encoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MagicLuke/ecapa-tdnn-speaker-encoder", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40119ceab795ee1954850ccd30811e52e808ce17b208228bbe7de3987d2d1404
- Size of remote file:
- 65 MB
- SHA256:
- b0d79489ed204dbc63ae1e29221c356259e0dfc7b837f3a3b420647f460d64a8
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