Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- Murple/ksponspeech
+language:
+- ko
+metrics:
+- cer
+- wer
+pipeline_tag: automatic-speech-recognition
+---
+# Whisper-Medium-KsponSpeech
+
+The Whisper-medium Model finetunned with [KsponSpeech](https://huggingface.co/datasets/Murple/ksponspeech)
+
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by :** [yw0nam](https://github.com/yw0nam)
+- **Shared by :** [yw0nam](https://github.com/yw0nam)
+- **Model type :** ASR
+- **License:** [apache-2.0]
+
+## Uses
+
+```
+
+processor = WhisperProcessor.from_pretrained("openai/whisper-medium", language="ko", task="transcribe")
+model = WhisperForConditionalGeneration.from_pretrained('spow12/whisper-medium-zeroth_korean').cuda()
+
+data, _ = librosa.load(wav_path, sr=16000)
+input_features = processor(data, sampling_rate=16000, return_tensors="pt").input_features.cuda()
+
+predicted_ids = model.generate(input_features)
+transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]
+
+```
+
+### Metrics
+
+Metric | result |
+--- | --- | 
+ WER | 3.96 |
+ CER | 1.71 |
+