Instructions to use microsoft/wavlm-base-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/wavlm-base-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="microsoft/wavlm-base-plus")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("microsoft/wavlm-base-plus") model = AutoModel.from_pretrained("microsoft/wavlm-base-plus") - Notebooks
- Google Colab
- Kaggle
๐ Documentation Enhancement Suggestion
#4 opened 3 months ago
by
CroviaTrust
๐ Documentation Enhancement Suggestion
#3 opened 3 months ago
by
CroviaTrust
Adding `safetensors` variant of this model
#2 opened 9 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 2 years ago
by
SFconvertbot