Instructions to use acul3/TTS-TESTV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acul3/TTS-TESTV3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("acul3/TTS-TESTV3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1d95b54c91bdc981dc4ff3ff6c53de326fa9522a571532e7c11a2fba95bbfb0
- Size of remote file:
- 346 MB
- SHA256:
- 399e41d1e2a704056b96b82692dd7d0fa3cc351ea20d277f534f7a656522eb74
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