load wav2vec model from local path
I'm trying to run the wav2vec based ASR on my machine.  This is my code:
```
import soundfile as sf
import torch
from transformers import Wav2Vec2ForMaskedLM, Wav2Vec2Tokenizer

# load pretrained model
cp = "./my_model_directory/wav2vec_small.pt"
tokenizer = Wav2Vec2Tokenizer.from_pretrained(cp)
model = Wav2Vec2ForMaskedLM.from_pretrained(cp)

# load audio
audio_input, _ = sf.read("/home/robot/Music/dinesh.flac")

# transcribe
input_values = tokenizer(audio_input, return_tensors="pt").input_values
logits = model(input_values).logits
predicted_ids = torch.argmax(logits, dim=-1)
transcription = tokenizer.batch_decode(predicted_ids)[0]
print(transcription)

```
Here cp is the path to the wav2ved local model file. But when i try to run this i'm getting error;
`- or './my_model_directory' is the correct path to a directory containing relevant tokenizer files`
Here when i use the model present in the cloud eg. cp = "facebook/wav2vec2-base-960h". This works perfectly. 
Isn't this possible to run the transformers wav2vec without cloud? 
hi @roboticsai 

`from_pretrained` expects path of the directory where it can find `config.json` and `pytorch_model.bin` files. It seems that you haven't saved the model using `save_pretrained`. 

To use `from_pretrained`, the model should be saved using `save_pretrained` method.<|||||>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.