Update README.md

README.md

@@ -31,11 +31,11 @@ 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 "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 [whisper-bsc-large-v3-cat](https://huggingface.co/BSC-LT/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 [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 "faster-whisper-bsc-large-v3-cat" is the result of converting the [whisper-bsc-large-v3-cat](https://huggingface.co/BSC-LT/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
 
@@ -69,7 +69,7 @@ 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 = "BSC-LT/faster-whisper-bsc-large-v3-cat"
 
 # Run on GPU with FP16
 model = WhisperModel(model_size, device="cuda", compute_type="float16")
@@ -94,7 +94,7 @@ 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
+ct2-transformers-converter --model BSC-LT/whisper-bsc-large-v3-cat
    --output_dir faster-whisper-bsc-large-v3-cat
    --copy_files preprocessor_config.json 
    --quantization float16