Update README.md

README.md

@@ -76,10 +76,6 @@ MODEL_NAME = "alvanlii/whisper-small-cantonese"
 processor = WhisperProcessor.from_pretrained(MODEL_NAME)
 model = WhisperForConditionalGeneration.from_pretrained(MODEL_NAME)
 
-model.config.forced_decoder_ids = None
-model.config.suppress_tokens = None
-model.config.use_cache = False
-
 processed_in = processor(y, sampling_rate=sr, return_tensors="pt")
 gout = model.generate(
     input_features=processed_in.input_features, 
@@ -151,6 +147,9 @@ Using speculative decoding with `alvanlii/whisper-small-cantonese`, it runs at 0
 ## Whisper.cpp
 Uploaded a GGML bin file for Whisper cpp as of June 2024. You can download the bin file [here](https://huggingface.co/alvanlii/whisper-small-cantonese/blob/main/ggml-model.bin) and try it out [here](https://whisper.ggerganov.com/). 
 
+## Whisper CT2
+For use in WhisperX or FasterWhisper, a CT2 file is needed. The converted model is under [here](https://huggingface.co/alvanlii/whisper-small-cantonese/tree/main/cts)
+
 ## Training Hyperparameters
 - learning_rate: 5e-5
 - train_batch_size: 25 (on 1 3090 GPU)