Update README.md

README.md

@@ -1,3 +1,41 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+base_model:
+- BELLE-2/Belle-whisper-large-v3-turbo-zh
+tags:
+- audio
+- automatic-speech-recognition
+---
+
+# Belle-whisper-large-v3-turbo-zh model for CTranslate2
+
+This repository contains the conversion of [BELLE-2/Belle-whisper-large-v3-turbo-zh](https://huggingface.co/BELLE-2/Belle-whisper-large-v3-turbo-zh) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
+
+This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](https://github.com/systran/faster-whisper).
+
+## Example
+
+```python
+from faster_whisper import WhisperModel
+
+model = WhisperModel("flateon/Belle-whisper-large-v3-turbo-zh-ct2")
+
+segments, info = model.transcribe("audio.mp3")
+for segment in segments:
+    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
+```
+
+## Conversion details
+
+The original model was converted with the following command:
+
+```
+ct2-transformers-converter --model BELLE-2/Belle-whisper-large-v3-turbo-zh --output_dir Belle-whisper-large-v3-turbo-zh-ct2 \
+    --copy_files tokenizer.json preprocessor_config.json --quantization float16
+```
+
+Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the `compute_type` option in [CTranslate2](https://opennmt.net/CTranslate2/quantization.html).
+
+## More information
+
+**For more information about the original model, see its [model card](https://huggingface.co/BELLE-2/Belle-whisper-large-v3-turbo-zh).**