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bba0220
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Update README.md
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README.md
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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-
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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
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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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@@ -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):
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