Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Dutch
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use RuudVelo/wav2vec2-large-xls-r-1b-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RuudVelo/wav2vec2-large-xls-r-1b-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RuudVelo/wav2vec2-large-xls-r-1b-nl")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("RuudVelo/wav2vec2-large-xls-r-1b-nl") model = AutoModelForCTC.from_pretrained("RuudVelo/wav2vec2-large-xls-r-1b-nl") - Notebooks
- Google Colab
- Kaggle
Upload README.md
Browse files
README.md
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@@ -14,21 +14,21 @@ datasets:
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model-index:
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- name: wav2vec2-large-xls-r-1b-nl
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 8
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type: mozilla-foundation/common_voice_8_0
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args: nl
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metrics:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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type: speech-recognition-community-v2/dev_data
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args: nl
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metrics:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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model-index:
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- name: wav2vec2-large-xls-r-1b-nl
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 8
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type: mozilla-foundation/common_voice_8_0
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args: nl
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metrics:
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- name: Test WER
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type: wer
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value: 11.12
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- name: Test CER
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type: cer
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value: 3.2
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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type: speech-recognition-community-v2/dev_data
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args: nl
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metrics:
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- name: Test WER
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type: wer
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value: 31.92
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- name: Test CER
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type: cer
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value: 13.87
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Robust Speech Event - Test Data
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type: speech-recognition-community-v2/eval_data
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args: nl
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metrics:
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- name: Test WER
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type: wer
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value: 32.17
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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