Automatic Speech Recognition
Transformers
PyTorch
JAX
German
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use marcel/wav2vec2-large-xlsr-53-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcel/wav2vec2-large-xlsr-53-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marcel/wav2vec2-large-xlsr-53-german")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("marcel/wav2vec2-large-xlsr-53-german") model = AutoModelForCTC.from_pretrained("marcel/wav2vec2-large-xlsr-53-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40223b037f5bb7cedd75a94e42736946471257aa1c44aae29d6eeb11ca5272a5
- Size of remote file:
- 623 Bytes
- SHA256:
- bfdc2d2bf2e38aa9b79f44cff2f9aeb6010436b1e91d3f4e3dd4369fe0145158
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