Update README.md

README.md

@@ -3,25 +3,26 @@ license: apache-2.0
 base_model:
 - openai/whisper-base
 pipeline_tag: automatic-speech-recognition
+language:
+- en
+- ru
 ---
 
-# Whisper base in ONNX (exported by onnxruntime)
+OpenAI Whisper base [model](https://huggingface.co/openai/whisper-base) converted to ONNX format for [onnx-asr](https://github.com/istupakov/onnx-asr).
 
-Whisper base [model](https://huggingface.co/openai/whisper-base) converted to ONNX format for [onnx-asr](https://github.com/istupakov/onnx-asr).
-
-## Install onnx-asr
+Install onnx-asr
 ```shell
 pip install onnx-asr[cpu,hub]
 ```
 
-## Load whisper-base model and recognize wav file
+Load whisper-base model and recognize wav file
 ```py
 import onnx_asr
 model = onnx_asr.load_model("whisper-base")
 print(model.recognize("test.wav"))
 ```
 
-## Code for models export
+## Model export
 
 Read onnxruntime [instruction](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/python/tools/transformers/models/whisper/README.md) for convert Whisper to ONNX.
 
@@ -36,12 +37,4 @@ from transformers import WhisperTokenizer
 
 processor = WhisperTokenizer.from_pretrained("openai/whisper-base")
 processor.save_pretrained("whisper-onnx")
-```
-
-Create `config.json`
-```json
-{
-    "model_type": "whisper-ort",
-    "features_size": 80
-}
-```
+```