Instructions to use ICTNLP/SLED-TTS-Streaming-Libriheavy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICTNLP/SLED-TTS-Streaming-Libriheavy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ICTNLP/SLED-TTS-Streaming-Libriheavy")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ICTNLP/SLED-TTS-Streaming-Libriheavy", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors with huggingface_hub
Browse files- model.safetensors +3 -0
model.safetensors
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