Instructions to use Kromtao/basic3test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kromtao/basic3test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Kromtao/basic3test")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Kromtao/basic3test", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65dc6bfec5fff0835ca7447d36345a739b9d40f22749537ac6e1359040798309
- Size of remote file:
- 3.51 GB
- SHA256:
- 203384c277804f98595064bf0f78b616335838f68a11f24067156f2fba27784a
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