fixed some mistakes

README.md

@@ -42,8 +42,8 @@ from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 
 test_dataset = load_dataset("common_voice", "de", split="test[:2%]") 
 
-processor = Wav2Vec2Processor.from_pretrained("marcel/wav2vec2-large-xlsr-german-demo") #TODO: replace {model_id} with your model id. The model id consists of {your_username}/{your_modelname}, *e.g.* `elgeish/wav2vec2-large-xlsr-53-arabic`
-model = Wav2Vec2ForCTC.from_pretrained("marcel/wav2vec2-large-xlsr-german-demo/") #TODO: replace {model_id} with your model id. The model id consists of {your_username}/{your_modelname}, *e.g.* `elgeish/wav2vec2-large-xlsr-53-arabic`
+processor = Wav2Vec2Processor.from_pretrained("marcel/wav2vec2-large-xlsr-german-demo")
+model = Wav2Vec2ForCTC.from_pretrained("marcel/wav2vec2-large-xlsr-german-demo")
 
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 
@@ -82,10 +82,8 @@ import re
 test_dataset = load_dataset("common_voice", "de", split="test") [this](https://huggingface.co/languages) site.
 wer = load_metric("wer")
 
-processor = Wav2Vec2Processor.from_pretrained("de")
-`elgeish/wav2vec2-large-xlsr-53-arabic`
-model = Wav2Vec2ForCTC.from_pretrained("de") 
-`elgeish/wav2vec2-large-xlsr-53-arabic`
+processor = Wav2Vec2Processor.from_pretrained('marcel/wav2vec2-large-xlsr-53-german-demo')
+model = Wav2Vec2ForCTC.from_pretrained('marcel/wav2vec2-large-xlsr-53-german-demo') 
 model.to("cuda")
 
 chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\”\�\カ\æ\無\ན\カ\臣\ѹ\…\«\»\ð\ı\„\幺\א\ב\比\ш\ע\)\ứ\в\œ\ч\+\—\ш\‚\נ\м\ń\乡\$\=\ש\ф\支\(\°\и\к\̇]'