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
Add library name
#1
by nielsr HF Staff - opened
This PR makes sure the model has library_name: transformers. This ensures the "how to use" button appears on the top right of the screen, allowing people to easily use the model in their projects.
Paulmzr changed pull request status to merged