Update README.md

README.md

@@ -118,7 +118,7 @@ This model can be used in CTranslate2 or projects based on CTranslate2 such as [
 ```python
 from faster_whisper import WhisperModel
 
-model = WhisperModel("deepdml/faster-whisper-large-v3-turbo-ct2")
+model = WhisperModel("FILM6912/whisper-large-v3-turbo-ct2")
 
 segments, info = model.transcribe("audio.mp3")
 for segment in segments:
@@ -130,7 +130,7 @@ for segment in segments:
 The original model was converted with the following command:
 
 ```
-ct2-transformers-converter --model deepdml/whisper-large-v3-turbo --output_dir faster-whisper-large-v3-turbo \
+ct2-transformers-converter --model FILM6912/whisper-large-v3-turbo --output_dir faster-whisper-large-v3-turbo \
     --copy_files tokenizer.json preprocessor_config.json --quantization float16
 ```
 
@@ -139,16 +139,3 @@ Note that the model weights are saved in FP16. This type can be changed when the
 ## More information
 
 **For more information about the original model, see its [model card](https://huggingface.co/openai/whisper-large-v3-turbo).**
-
-## Citation
-
-Please cite the model using the following BibTeX entry:
-
-```bibtex
-@misc{deepdml/faster-whisper-large-v3-turbo-ct2,
-      title={Faster Whisper ct2 large-v3 turbo},
-      author={Jimenez, David},
-      howpublished={\url{https://huggingface.co/deepdml/faster-whisper-large-v3-turbo-ct2}},
-      year={2024}
-    }
-```