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:
- dc39d6fc76298d6a80cda447cb4649df82c8b265c9c30d10ef8a2f08c97b3da2
- Size of remote file:
- 378 MB
- SHA256:
- 87c46d7b16d17690af8f7c95a37f5ba18e7e44957cf00d01019c4775c03aacff
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