Instructions to use voidful/tts_hubert_m2m100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/tts_hubert_m2m100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidful/tts_hubert_m2m100")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("voidful/tts_hubert_m2m100") model = AutoModel.from_pretrained("voidful/tts_hubert_m2m100") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("voidful/tts_hubert_m2m100")
model = AutoModel.from_pretrained("voidful/tts_hubert_m2m100")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="voidful/tts_hubert_m2m100")