Instructions to use ICTNLP/SLED-TTS-Libriheavy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICTNLP/SLED-TTS-Libriheavy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ICTNLP/SLED-TTS-Libriheavy")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ICTNLP/SLED-TTS-Libriheavy", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 116 Bytes
fc7c58f | 1 2 3 4 5 6 7 | {
"_from_model_config": true,
"bos_token_id": 0,
"eos_token_id": 2,
"transformers_version": "4.46.0.dev0"
}
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