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
Add library name and license
#1
by nielsr HF Staff - opened
This PR adds the library_name to the model card metadata and specifies the license as MIT.
Paulmzr changed pull request status to merged