Create README.md

README.md

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+---
+library_name: transformers
+pipeline_tag: automatic-speech-recognition
+license: apache-2.0
+language:
+- vi
+---
+Converted to Flax from [vinai/PhoWhisper-medium](huggingface.co/vinai/PhoWhisper-medium) for light-speed inference on TPU
+```py
+from whisper_jax import FlaxWhisperPipline
+import jax.numpy as jnp
+
+pipeline = FlaxWhisperPipline("hr16/PhoWhisper-medium-flax", dtype=jnp.bfloat16, batch_size=16)
+```
+
+Original abstract:
+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 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!