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
update model card README.md
Browse files
README.md
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-base-german
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# wav2vec2-base-german
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This model
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It achieves the following results on the evaluation set:
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- Loss: 0.9302
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- Wer: 0.7428
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language:
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- de
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_10_0
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model-index:
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- name: wav2vec2-base-german
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# wav2vec2-base-german
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This model is a fine-tuned version of [wav2vec2-base-german](https://huggingface.co/wav2vec2-base-german) on the MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - DE dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9302
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- Wer: 0.7428
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