Upload README.md

README.md

@@ -56,14 +56,14 @@ torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 
 # Load model and processor
 model = WhisperForConditionalGeneration.from_pretrained(
-    "primeline/whisper-large-v3-turbo-german",
+    "mrprimenotes/sign-whisper-german",
     torch_dtype=torch_dtype,
     low_cpu_mem_usage=True,
     use_safetensors=True
 ).to(device)
 
 # Load the tokenizer for the model (for decoding)
-tokenizer = AutoTokenizer.from_pretrained("primeline/whisper-large-v3-turbo-german")
+tokenizer = AutoTokenizer.from_pretrained("mrprimenotes/sign-whisper-german")
 
 # input preprocessing / feature extraction (TBD)
 # input_features = ...