Create README.md

README.md

@@ -0,0 +1,28 @@
+```python
+from transformers import WhisperProcessor, WhisperForConditionalGeneration
+
+processor = WhisperProcessor.from_pretrained("eddiegulay/Whisperer_Mozilla_Sw_2000")
+model = WhisperForConditionalGeneration.from_pretrained("eddiegulay/Whisperer_Mozilla_Sw_2000")
+forced_decoder_ids = processor.get_decoder_prompt_ids(language="swahili", task="transcribe")
+
+def transcribe(audio_path):
+  # Load the audio file
+  audio_input, sample_rate = torchaudio.load(audio_path)
+  target_sample_rate = 16000
+  audio_input = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=target_sample_rate)(audio_input)
+
+  # Preprocess the audio data
+  input_features = processor(audio_input[0], sampling_rate=target_sample_rate, return_tensors="pt").input_features
+
+  # generate token ids
+  predicted_ids = model.generate(input_features, forced_decoder_ids=forced_decoder_ids)
+
+  # Perform inference and transcribe
+  transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
+
+  return transcription
+
+
+
+transcribe('your_audio_file.mp3')
+```