Transformers
TensorBoard
Safetensors
Spanish
pyannet
speaker-diarization
speaker-segmentation
Generated from Trainer
Instructions to use mirari/segmentation-RTVE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirari/segmentation-RTVE with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mirari/segmentation-RTVE", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1db5eadfd9eb52630c5b4afd06de083312c496e01755d47f503ed88fa6a8d4a
- Size of remote file:
- 5.24 kB
- SHA256:
- 3db687e8729279049b0fd1f7f34386d4d402a08a1f70f023ea2324de68240f61
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