readme: ---
  language: ga-IE
  datasets:
  - common_voice
  metrics:
  - wer
  tags:
  - audio
  - automatic-speech-recognition
  - speech
  license: apache-2.0
  model-index:
  - name: XLSR Wav2Vec2 Irish by Semih GULUM
    results:
    - task: 
        name: Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice gle
        type: common_voice
        args: ga-IE
      metrics:
         - name: Test WER
           type: wer
           
  ---
  # wav2vec2-irish-lite Speech to Text
  ## Usage
  The model can be used directly (without a language model) as follows:
  ```python
  import torch
  import torchaudio
  from datasets import load_dataset
  from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
  test_dataset = load_dataset("common_voice", "ga-IE", split="test[:2%]") 
  processor = Wav2Vec2Processor.from_pretrained("Semih/wav2vec2_Irish_Large")
  model = Wav2Vec2ForCTC.from_pretrained("Semih/wav2vec2_Irish_Large")
  resampler = torchaudio.transforms.Resample(48_000, 16_000)
  ```
  Test Result: 55.11