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README.md
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base_model: masoudmzb/wav2vec2-xlsr-multilingual-53-fa
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metrics:
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- wer
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model-index:
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- name: wav2vec2-large-xlsr-persian-asr-shemo_me7494
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results:
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language:
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- fa
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pipeline_tag: automatic-speech-recognition
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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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base_model: masoudmzb/wav2vec2-xlsr-multilingual-53-fa
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metrics:
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- wer
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widget:
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- example_title: Common Voice sample 1
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src: >-
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https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3/resolve/main/sample1.flac
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- example_title: Common Voice sample 2978
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src: >-
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https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3/resolve/main/sample2978.flac
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- example_title: Common Voice sample 5168
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src: >-
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https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3/resolve/main/sample5168.flac
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model-index:
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- name: wav2vec2-large-xlsr-persian-asr-shemo_me7494
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results:
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- task:
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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 13.0
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type: common_voice_13_0
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args: fa
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metrics:
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- name: Test WER
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type: wer
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value: 19.21
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language:
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- fa
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pipeline_tag: automatic-speech-recognition
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tags:
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- audio
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- speech
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- automatic-speech-recognition
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- asr
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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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