Loading a fairseq trained wav2vec2 model with transformers
```
>>> import transformers
>>> from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC
>>> processor = Wav2Vec2Processor.from_pretrained("wav2vec_small.pt")

```

gives the error: 
```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/tmp/scratch/venv/lib/python3.8/site-packages/transformers/models/wav2vec2/processing_wav2vec2.py", line 110, in from_pretrained
    feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(pretrained_model_name_or_path, **kwargs)
  File "/tmp/scratch/venv/lib/python3.8/site-packages/transformers/feature_extraction_utils.py", line 304, in from_pretrained
    feature_extractor_dict, kwargs = cls.get_feature_extractor_dict(pretrained_model_name_or_path, **kwargs)
  File "/tmp/scratch/venv/lib/python3.8/site-packages/transformers/feature_extraction_utils.py", line 423, in get_feature_extractor_dict
    text = reader.read()
  File "/usr/lib/python3.8/codecs.py", line 322, in decode
    (result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte

```

The file i'm trying to load is the wav2vec2 base model from the paper. 
Hey @tensorfoo, there is a [conversion script](https://github.com/huggingface/transformers/blob/master/src/transformers/models/wav2vec2/convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.py) that can be used to convert original fairseq checkpoints to HF transformer format. Does this solve your issue?<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.