Fix example usage

For the `librispeech_long` example, as it is longer than 30 s, there is the following error:
```
ValueError: You have passed more than 3000 mel input features (> 30 seconds) which automatically enables long-form generation which requires the model to predict timestamp tokens. Please either pass `return_timestamps=True` or make sure to pass no more than 3000 mel input features.
```

README.md

@@ -178,10 +178,15 @@ pipe = pipeline(
 dataset = load_dataset("distil-whisper/librispeech_long", "clean", split="validation")
 sample = dataset[0]["audio"]
 
-result = pipe(sample)
+result = pipe(sample, return_timestamps=True)
 print(result["text"])
 ```
 
+It is also possible to transcribe a link to an audio file:
+```python
+result = pipe("https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac")
+```
+
 To transcribe a local audio file, simply pass the path to your audio file when you call the pipeline:
 
 ```python