Update README.md

README.md

@@ -32,11 +32,11 @@ tags:
 
 ## Summary
 
-The "langtech-veu/faster-whisper_bsc_large_v3_cat" is an acoustic model based on a [faster-whisper](https://github.com/guillaumekln/faster-whisper/tree/master) version of [langtech-veu/Whisper_bsc_large_v3_cat](https://huggingface.co/langtech-veu/Whisper_bsc_large_v3_cat) suitable for Automatic Speech Recognition in Catalan.
+The "langtech-veu/faster-whisper-bsc-large-v3-cat" is an acoustic model based on a [faster-whisper](https://github.com/guillaumekln/faster-whisper/tree/master) version of [langtech-veu/whisper-bsc-large-v3-cat](https://huggingface.co/langtech-veu/whisper-bsc-large-v3-cat) suitable for Automatic Speech Recognition in Catalan.
 
 ## Model Description
 
-The "langtech-veu/faster-whisper_bsc_large_v3_cat" is the result of converting the [langtech-veu/Whisper_bsc_large_v3_cat](https://huggingface.co/langtech-veu/Whisper_bsc_large_v3_cat) into a lighter model using a Python module called [faster-whisper](https://github.com/guillaumekln/faster-whisper/tree/master).
+The "langtech-veu/faster-whisper-bsc-large-v3-cat" is the result of converting the [langtech-veu/whisper-bsc-large-v3-cat](https://huggingface.co/langtech-veu/whisper-bsc-large-v3-cat) into a lighter model using a Python module called [faster-whisper](https://github.com/guillaumekln/faster-whisper/tree/master).
 
 ## Intended Uses and Limitations
 
@@ -70,7 +70,7 @@ To transcribe audio in Catalan using this model, you can follow this example:
 ```python
 from faster_whisper import WhisperModel
 
-model_size = "langtech-veu/faster-whisper_bsc_large_v3_cat"
+model_size = "langtech-veu/faster-whisper-bsc-large-v3-cat"
 
 # Run on GPU with FP16
 model = WhisperModel(model_size, device="cuda", compute_type="float16")
@@ -95,8 +95,8 @@ for segment in segments:
 This model is not a direct result of training. It is a conversion of a [Whisper](https://huggingface.co/openai/whisper-large-v3) model using [faster-whisper](https://github.com/guillaumekln/faster-whisper/tree/master). The procedure to create the model is as follows:
 
 ```bash
-ct2-transformers-converter --model langtech-veu/Whisper_bsc_large_v3_cat
-   --output_dir langtech-veu/faster-whisper_bsc_large_v3_cat
+ct2-transformers-converter --model langtech-veu/whisper-bsc-large-v3-cat
+   --output_dir faster-whisper-bsc-large-v3-cat
    --copy_files preprocessor_config.json 
    --quantization float16
 ```
@@ -105,10 +105,10 @@ ct2-transformers-converter --model langtech-veu/Whisper_bsc_large_v3_cat
 If this model contributes to your research, please cite the work:
 ```
 @misc{takanori2025whisperbsclarge3cat,
-      title={Acoustic Model in Catalan: Whisper_bsc_large_v3_cat.}, 
+      title={Acoustic Model in Catalan: whisper-bsc-large-v3-cat.}, 
       author={Sanchez Shiromizu, Lucas Takanori; Hernandez Mena, Carlos Daniel; Messaoudi, Abir; España i Bonet, Cristina; Cortada Garcia, Marti},
       organization={Barcelona Supercomputing Center},
-      url={https://huggingface.co/langtech-veu/Whisper_bsc_large_v3_cat},
+      url={https://huggingface.co/langtech-veu/faster-whisper-bsc-large-v3-cat},
       year={2025}
 }
 ```