Instructions to use patrickvonplaten/wav2vec2_tiny_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wav2vec2_tiny_random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="patrickvonplaten/wav2vec2_tiny_random")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("patrickvonplaten/wav2vec2_tiny_random") model = AutoModel.from_pretrained("patrickvonplaten/wav2vec2_tiny_random") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Librarian Bot: Update dataset YAML metadata for model
#2 opened about 3 years ago
by
librarian-bot
Upload README.md with huggingface_hub
#1 opened over 3 years ago
by
lbourdois