Create README.md

README.md

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+---
+{}
+---
+Code to generate:
+
+```py
+from transformers import WhisperForConditionalGeneration, AutoProcessor
+
+new_config_values = dict(
+  d_model = 16,
+  decoder_attention_heads = 4,
+  decoder_layers = 1,
+  encoder_attention_heads = 4,
+  encoder_layers = 1,
+  num_hidden_layers = 1,
+
+  ignore_mismatched_sizes=True,
+)
+original_model = WhisperForConditionalGeneration.from_pretrained('openai/whisper-tiny', **new_config_values)
+original_model.save_pretrained('converted')
+
+original_processor = AutoProcessor.from_pretrained('openai/whisper-tiny')
+original_processor.save_pretrained('converted')
+```
+
+Followed by:
+```sh
+$ mkdir -p ./converted/onnx
+$ optimum-cli export onnx -m ./converted ./converted/onnx --task automatic-speech-recognition-with-past
+$ find ./converted/onnx -type f ! -name "*.onnx" -delete
+```