Update README.md

README.md

@@ -61,7 +61,7 @@ model-index:
 ---
 # Wav2Vec2-Large-Ru-Golos-With-LM
 
-Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Russian using the [Sberdevices Golos](https://huggingface.co/datasets/SberDevices/Golos). The language model is based on [the Russian National Corpus](https://ruscorpora.ru/en), and this model includes unigrams, bigrams and trigrams.
+Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Russian using the [Sberdevices Golos](https://huggingface.co/datasets/SberDevices/Golos). The language model is based on [the Russian National Corpus](https://ruscorpora.ru/), and this model includes unigrams, bigrams and trigrams.
 
 ## Usage
 
@@ -105,7 +105,8 @@ def speech_file_to_array_fn(batch):
 
 test_dataset = test_dataset.map(speech_file_to_array_fn)
 
-inputs = processor(test_dataset["speech"], sampling_rate=16_000, return_tensors="pt", padding=True)
+inputs = processor(test_dataset["speech"], sampling_rate=16_000,
+                   return_tensors="pt", padding=True)
 with torch.no_grad():
     logits = model(inputs.input_values, attention_mask=inputs.attention_mask).logits
 predicted_sentences = processor.batch_decode(