Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
robust-speech-event
mozilla-foundation/common_voice_8_0
Generated from Trainer
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use AlexN/xls-r-300m-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexN/xls-r-300m-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AlexN/xls-r-300m-pt")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("AlexN/xls-r-300m-pt") model = AutoModelForCTC.from_pretrained("AlexN/xls-r-300m-pt") - Notebooks
- Google Colab
- Kaggle
correct dataset language in reported metrics
Browse files
README.md
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name: Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 8.0
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type: mozilla-foundation/common_voice_8_0
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args:
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metrics:
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- name: Test WER
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type: wer
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name: Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 8.0 pt
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type: mozilla-foundation/common_voice_8_0
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args: pt
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metrics:
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- name: Test WER
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type: wer
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