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
Upload generation_config.json with huggingface_hub
Browse files- generation_config.json +6 -0
generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"transformers_version": "4.46.0.dev0"
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}
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