Update README.md

README.md

@@ -208,19 +208,17 @@ The "<|en|>" token is used to specify that the speech is in english and should b
 >>> processor = WhisperProcessor.from_pretrained("openai/whisper-large")
 >>> model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-large")
 
->>> decoder_input_ids = processor.tokenizer.encode("<|startoftranscript|><|en|><|transcribe|><|notimestamps|>", return_tensors="pt")
-
 >>> # load dummy dataset and read soundfiles
 >>> ds = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
 
 >>> # tokenize
 >>> input_features = processor(ds[0]["audio"]["array"], return_tensors="pt").input_features 
 >>> # retrieve logits
->>> logits = model(input_features, decoder_input_ids).logits
+>>> logits = model(input_features).logits
 >>> # take argmax and decode
 >>> predicted_ids = torch.argmax(logits, dim=-1)
 >>> transcription = processor.batch_decode(predicted_ids)
-['<|en|><|transcribe|><|notimestamps|> Mr']
+['<|startoftranscript|><|en|><|notimestamps|> Mr']
 ```
 
 ### French to French