Instructions to use patrickvonplaten/wav2vec2_tiny_random_robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wav2vec2_tiny_random_robust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/wav2vec2_tiny_random_robust")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("patrickvonplaten/wav2vec2_tiny_random_robust") model = AutoModel.from_pretrained("patrickvonplaten/wav2vec2_tiny_random_robust", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
358ecf7 -
Update README.md
36ec5dc
-
allow flax
Patrick von Platenbe33e77
-
upload
bf9b1e6
-
Update README.md
a1b0827 -
add model
0369ec9 -
Update README.md
21fcda0 -
Update config.json
ecec220 -
Create README.md
a2c418f -
add model
e095fe6 -
initial commit
3f1081e