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README.md

@@ -23,17 +23,25 @@ print(model.recognize("test.wav"))
 
 ## Code for models export
 
-Export Whisper to ONNX with `onnxruntime` ([whisper.convert_to_onnx](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/python/tools/transformers/models/whisper/README.md)).
+Read onnxruntime [instruction](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/python/tools/transformers/models/whisper/README.md) for convert Whisper to ONNX.
 
-Download model and export with Beam Search and Forced Decoder Input Ids:
+Download model and export with *Beam Search* and *Forced Decoder Input Ids*:
 ```shell
-python3 -m onnxruntime.transformers.models.whisper.convert_to_onnx -m openai/whisper-base --output whisper-onnx --use_external_data_format --use_forced_decoder_ids --optimize_onnx --precision fp32
+python3 -m onnxruntime.transformers.models.whisper.convert_to_onnx -m openai/whisper-base --output ./whisper-onnx --use_forced_decoder_ids --optimize_onnx --precision fp32
 ```
 
-Save preprocessor and tokenizer configs
+Save tokenizer config
 ```py
-from transformers import WhisperProcessor
+from transformers import WhisperTokenizer
 
-processor = WhisperProcessor.from_pretrained("openai/whisper-base")
+processor = WhisperTokenizer.from_pretrained("openai/whisper-base")
 processor.save_pretrained("whisper-onnx")
-```
+```
+
+Create `config.json`
+```json
+{
+    "model_type": "whisper-ort",
+    "features_size": 80
+}
+```

config.json

@@ -0,0 +1,4 @@
+{
+    "model_type": "whisper-ort",
+    "features_size": 80
+}

preprocessor_config.json

@@ -1,15 +0,0 @@
-{
-  "chunk_length": 30,
-  "dither": 0.0,
-  "feature_extractor_type": "WhisperFeatureExtractor",
-  "feature_size": 80,
-  "hop_length": 160,
-  "n_fft": 400,
-  "n_samples": 480000,
-  "nb_max_frames": 3000,
-  "padding_side": "right",
-  "padding_value": 0.0,
-  "processor_class": "WhisperProcessor",
-  "return_attention_mask": false,
-  "sampling_rate": 16000
-}

whisper-base_beamsearch.int8.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:537719570b1b859d5d805283f509bce621d8ebbba8189609d8fb12064a68530c
+size 107166530

whisper-base_beamsearch.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:732180688d163f91283769140db2a63a47da21ca1c1379a6c686b4bd62f2c412
+size 398028367