Instructions to use microsoft/speecht5_vc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/speecht5_vc with Transformers:
# Load model directly from transformers import AutoProcessor, SpeechT5ForSpeechToSpeech processor = AutoProcessor.from_pretrained("microsoft/speecht5_vc") model = SpeechT5ForSpeechToSpeech.from_pretrained("microsoft/speecht5_vc") - Notebooks
- Google Colab
- Kaggle
Add LICENSE file
#9 opened 6 months ago
by
jewittje
Adding `safetensors` variant of this model
#7 opened about 2 years ago
by
SFconvertbot
Speech enhancement questions
#6 opened over 2 years ago
by
digitalexander
FileNotFoundError: [Errno 2] No such file or directory: 'xvector_speaker_embedding.npy'
3
#5 opened almost 3 years ago
by
Girmay
about x-vector
#4 opened about 3 years ago
by
DannyWu
Trouble with outputs preserving information
#3 opened about 3 years ago
by
sdooman
Challenges using Hugging Face example, line "speaker_embeddings = np.load("xvector_speaker_embedding.npy")"
3
#1 opened about 3 years ago
by
hlia