badaoui HF Staff commited on
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Adding Neuron-optimized model files

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🤖 Neuron Export Bot: On behalf of [badaoui](https://huggingface.co/badaoui), adding AWS Neuron-optimized model files.
Neuron-optimized models can achieve high-performance inference on AWS Inferentia and Trainium chips. Learn more:
- [AWS Neuron Documentation](https://awsdocs-neuron.readthedocs-hosted.com)
- [🤗 Optimum Neuron Guide](https://huggingface.co/docs/optimum-neuron/index)

.gitattributes CHANGED
@@ -16,3 +16,4 @@
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  *.pth filter=lfs diff=lfs merge=lfs -text
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  *.msgpack filter=lfs diff=lfs merge=lfs -text
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  model.safetensors filter=lfs diff=lfs merge=lfs -text
 
 
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  *.pth filter=lfs diff=lfs merge=lfs -text
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  *.msgpack filter=lfs diff=lfs merge=lfs -text
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  model.safetensors filter=lfs diff=lfs merge=lfs -text
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+ neuron/model.neuron filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -6,6 +6,7 @@ tags:
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  - audio
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  - automatic-speech-recognition
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  - hf-asr-leaderboard
 
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  license: apache-2.0
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  widget:
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  - example_title: Librispeech sample 1
@@ -16,33 +17,33 @@ model-index:
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  - name: wav2vec2-base-960h
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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: LibriSpeech (clean)
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  type: librispeech_asr
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  config: clean
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  split: test
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- args:
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  language: en
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 3.4
 
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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: LibriSpeech (other)
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  type: librispeech_asr
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  config: other
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  split: test
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- args:
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  language: en
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 8.6
 
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  ---
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  # Wav2Vec2-Base-960h
 
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  - audio
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  - automatic-speech-recognition
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  - hf-asr-leaderboard
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+ - neuron
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  license: apache-2.0
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  widget:
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  - example_title: Librispeech sample 1
 
17
  - name: wav2vec2-base-960h
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  results:
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  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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  dataset:
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  name: LibriSpeech (clean)
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  type: librispeech_asr
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  config: clean
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  split: test
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  language: en
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  metrics:
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+ - type: wer
 
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  value: 3.4
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+ name: Test WER
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  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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  dataset:
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  name: LibriSpeech (other)
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  type: librispeech_asr
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  config: other
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  split: test
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+ args:
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  language: en
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  metrics:
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+ - type: wer
 
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  value: 8.6
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+ name: Test WER
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  ---
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  # Wav2Vec2-Base-960h
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