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Update README.md

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  1. README.md +4 -4
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@@ -8,7 +8,7 @@ tags:
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  - wolof
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  - wo
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  model-index:
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- - name: wav2vec2-xls-r-300m-wolof_lm
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  results:
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  - task:
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  name: Speech Recognition
@@ -25,7 +25,7 @@ model-index:
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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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  should probably proofread and complete it, then remove this comment. -->
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- # wav2vec2-xls-r-300m-wolof
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  Wolof is a language spoken in Senegal and neighbouring countries, this language is not too well represented, there are few resources in the field of Text en speech
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  In this sense we aim to bring our contribution to this, it is in this sense that enters this repo.
@@ -99,8 +99,8 @@ def remove_special_characters(batch):
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  wolof = wolof.map(remove_special_characters)
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- processor = AutoProcessor.from_pretrained("abdouaziiz/wav2vec2-xls-r-300m-wolof")
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- model = AutoModelForCTC.from_pretrained("abdouaziiz/wav2vec2-xls-r-300m-wolof")
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  warnings.filterwarnings("ignore")
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  def speech_file_to_array_fn(batch):
 
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  - wolof
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  - wo
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  model-index:
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+ - name: wav2vec2-xls-r-300m-wolof-lm
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  results:
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  - task:
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  name: 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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  should probably proofread and complete it, then remove this comment. -->
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+ # wav2vec2-xls-r-300m-wolof-lm
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  Wolof is a language spoken in Senegal and neighbouring countries, this language is not too well represented, there are few resources in the field of Text en speech
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  In this sense we aim to bring our contribution to this, it is in this sense that enters this repo.
 
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  wolof = wolof.map(remove_special_characters)
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+ processor = AutoProcessor.from_pretrained("abdouaziiz/wav2vec2-xls-r-300m-wolof-lm")
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+ model = AutoModelForCTC.from_pretrained("abdouaziiz/wav2vec2-xls-r-300m-wolof-lm")
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  warnings.filterwarnings("ignore")
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  def speech_file_to_array_fn(batch):