Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- bn
+base_model:
+- sha1779/BengaliRegionalASR
+pipeline_tag: automatic-speech-recognition
+---
+
+This is the CTranslate2 version which is faster than base version.
+
+## requirements
+```bash
+pip install ctranslate2
+```
+## Base model to Ctranslate format conversion
+```bash
+!ct2-transformers-converter --model sha1779/BengaliRegionalASR --output_dir sha1779/Faster_BengaliRegionalASR --copy_files tokenizer.json preprocessor_config.json --quantization float16
+```
+
+## Run the model
+```bash
+pip install faster-whisper
+
+```
+
+```python
+from faster_whisper import WhisperModel
+
+model_size = "sha1779/Faster_BengaliRegionalASR"
+
+model = WhisperModel(model_size, device="cuda", compute_type="float16")
+segments, info = model.transcribe("audio.mp3", beam_size=5, language="en", condition_on_previous_text=False)
+
+for segment in segments:
+    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
+
+```
+