readme: This is a wav2vec2-base model trained from selected bird songs in a birddb dataset.
  
  
  ```
  import librosa
  import torch
  from transformers import Wav2Vec2ForPreTraining,Wav2Vec2Processor
  
  sound_file = 'sample.wav'
  
  sound_data,_ = librosa.load(sound_file, sr=16000)
  
  model_id = "kojima-r/wav2vec2-base-birddb-small"
  model = Wav2Vec2ForPreTraining.from_pretrained(model_id)
  
  result=model(torch.tensor([sound_data]))
  hidden_vecs=result.projected_states
  ```
  
  ![UMAP](https://huggingface.co/kojima-r/wav2vec2-base-birddb-small/resolve/main/umap.png)
  
  