Update README.md

README.md

@@ -1,3 +1,41 @@
 ---
+language:
+  - sr
+tags:
+  - audio
+  - automatic-speech-recognition
 license: mit
+library_name: ctranslate2
 ---
+# Whisper large-v2 Serbian fine-tunned model for CTranslate2
+
+This repository contains the conversion of [Sagicc/whisper-large-v2-sr-combined](https://huggingface.co/Sagicc/whisper-large-v2-sr-combined) 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/guillaumekln/faster-whisper).
+
+## Example
+
+```python
+from faster_whisper import WhisperModel
+
+model = WhisperModel("Sagicc/faster-whisper-large-v2-sr")
+
+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 openai/whisper-large-v2 --output_dir faster-whisper-large-v2 \
+    --copy_files tokenizer.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 fine-tunned model, see its [model card](https://huggingface.co/Sagicc/whisper-large-v2-sr-combined).**