Automatic Speech Recognition
Transformers
PyTorch
JAX
German
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use maxidl/wav2vec2-large-xlsr-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxidl/wav2vec2-large-xlsr-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maxidl/wav2vec2-large-xlsr-german")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("maxidl/wav2vec2-large-xlsr-german") model = AutoModelForCTC.from_pretrained("maxidl/wav2vec2-large-xlsr-german") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8174eb00ecde5756a93f1a1a2a501651b6d8fa2b820be22766c1f438eb90f381
- Size of remote file:
- 1.26 GB
- SHA256:
- 20e7c1b2537b683c9b9997816726695bd05f61c4f92f379ddf3d833d77b4ea1b
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