chore: Update original Readme

README.md

@@ -1,3 +1,37 @@
 ---
-license: mit
+language:
+- vi
+tags:
+- audio
+- automatic-speech-recognition
+- hf-asr-leaderboard
+library_name: transformers.js
+pipeline_tag: automatic-speech-recognition
+widget:
+- example_title: Librispeech sample 1
+  src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
+- example_title: Librispeech sample 2
+  src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
+license: wtfpl
 ---
+https://hf.co/vinai/PhoWhisper-tiny with ONNX weights to be compatible with Transformers.js.
+
+Please check out this demo using the model:
+[![Open in Spaces](https://huggingface.co/datasets/huggingface/badges/resolve/main/open-in-hf-spaces-md-dark.svg)](https://huggingface.co/spaces/huuquyet/PhoWhisper-next)
+
+
+# PhoWhisper:  Automatic  Speech  Recognition for  Vietnamese
+
+
+We introduce **PhoWhisper** in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the multilingual [Whisper](https://github.com/openai/whisper)  on an 844-hour dataset that encompasses diverse Vietnamese accents. Our experimental study demonstrates state-of-the-art performances of PhoWhisper on benchmark Vietnamese ASR datasets. Please **cite** our PhoWhisper paper when it is used to help produce published results or is incorporated into other software:
+
+```
+@inproceedings{PhoWhisper,
+  title     = {{PhoWhisper: Automatic Speech Recognition for Vietnamese}},
+  author    = {Thanh-Thien Le and Linh The Nguyen and Dat Quoc Nguyen},
+  booktitle = {Proceedings of the ICLR 2024 Tiny Papers track},
+  year      = {2024}
+}
+```
+
+For further information or requests, please go to [PhoWhisper's homepage](https://github.com/VinAIResearch/PhoWhisper)!