Create README.md

README.md

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+---
+language: te
+metrics:
+- wer
+tags:
+- audio
+- automatic-speech-recognition
+- speech
+- xlsr-fine-tuning
+license: apache-2.0
+model-index:
+- name: Henil Panchal Facebook XLSR Wav2Vec2 Large 53 Telugu
+  results:
+  - task: 
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 41.90
+---
+# Wav2Vec2-Large-XLSR-53-Telugu
+
+Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Telugu using the ASR IIIT-H dataset.
+When using this model, make sure that your speech input is sampled at 16kHz.
+
+**Test Result**: 41.90%
+## Training
+70% of the O part of ASR IIIT-H Telugu dataset was used for training.