Update README.md

README.md

@@ -16,6 +16,8 @@ license: apache-2.0
 
 **Fine-tuned Whisper model for the Levantine Dialect (Israeli-Arabic)**
 
+Thanks to [ivrit.ai](https://github.com/ivrit-ai/ivrit.ai/tree/master) for sharing fine-tuning code scripts! 
+
 ## Model Description
 
 This model is a fine-tuned version of [Whisper Larg v3](https://github.com/openai/whisper) tailored specifically for transcribing Levantine Arabic, focusing on the Israeli dialect. It is designed to improve automatic speech recognition (ASR) performance for this particular variant of Arabic.
@@ -35,7 +37,7 @@ The dataset used for training and fine-tuning this model consists of approximate
 - **Annotation**: Human-transcribed and annotated for high accuracy.
 
 ## How to Use
-
+The finetuned model was converted using [faster-whisper](https://github.com/SYSTRAN/faster-whisper) package to run up to 4 times faster than openai/whisper.
 The model is compatible with 16kHz audio input. Ensure your files are at the same sample rate for optimal results. You can load the model as follows:
 
 Will save a .vtt file with transcriptions and timestamps in audio_dir: