Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
German
wav2vec2
mozilla-foundation/common_voice_10_0
Generated from Trainer
Instructions to use aware-ai/wav2vec2-base-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aware-ai/wav2vec2-base-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aware-ai/wav2vec2-base-german")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("aware-ai/wav2vec2-base-german") model = AutoModelForCTC.from_pretrained("aware-ai/wav2vec2-base-german") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 142589610e0380acf568f27aaab55238f0f9bb95d9a05cb3a9a4f208c53b6bf9
- Size of remote file:
- 3.57 kB
- SHA256:
- 2f34ba2ba9222c575d8dd1ba3911db6a43d74bfe3494d9ba9382e21b5a9483ee
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