Update README.md

README.md

@@ -86,7 +86,7 @@ processor = Wav2Vec2Processor.from_pretrained("anas/wav2vec2-large-xlsr-arabic")
 model = Wav2Vec2ForCTC.from_pretrained("anas/wav2vec2-large-xlsr-arabic/")
 model.to("cuda")
 
-chars_to_ignore_regex = '[\,\؟\.\!\-\;\\:\'\"\☭\«\»\؛\—\ـ\_\،\“\%\‘\”\�]'
+chars_to_ignore_regex = '[\\,\\؟\\.\\!\\-\\;\\\\:\\'\\"\\☭\\«\\»\\؛\\—\\ـ\\_\\،\\“\\%\\‘\\”\\�]'
 
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 
@@ -137,4 +137,6 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
 
 The Common Voice Corpus 4 `train`, `validation`, datasets were used for training
 
-The script used for training can be found [here](...)
+The script used for training can be found [here](...)
+Twitter [here](@hasnii_anas)
+Email [here]([email protected])