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README.md

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+---
+language: lt
+datasets:
+- common_voice
+metrics:
+- wer
+tags:
+- audio
+- automatic-speech-recognition
+- speech
+license: apache-2.0
+model-index:
+- name: XLSR Wav2Vec2 Lithuanian by Seçilay KUTAL
+  results:
+  - task: 
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice lt
+      type: common_voice
+      args: lt
+    metrics:
+       - name: Test WER
+         type: wer
+         
+---
+# wav2vec_Lithuanian2Turkish
+## 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", "lt", split="test[:2%]") 
+processor = Wav2Vec2Processor.from_pretrained("seccily/wav2vec-lt-lite")
+model = Wav2Vec2ForCTC.from_pretrained("seccily/wav2vec-lt-lite")
+resampler = torchaudio.transforms.Resample(48_000, 16_000)
+```
+Test Result: 59.47