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README.md

@@ -40,7 +40,7 @@ import librosa
 import torch
 from transformers import WhisperProcessor, WhisperForConditionalGeneration
 
-repo = "Trelis/tara-draft"
+repo = "Trelis/tara"
 processor = WhisperProcessor.from_pretrained(repo)
 model = WhisperForConditionalGeneration.from_pretrained(
     repo, torch_dtype=torch.bfloat16).to("cuda")
@@ -161,6 +161,6 @@ If you use Tara in your work, please cite:
   title  = {Tara: Frontier Hindi Transcription Model},
   author = {{Trelis Research}},
   year   = {2026},
-  url    = {https://huggingface.co/Trelis/tara-draft}
+  url    = {https://huggingface.co/Trelis/tara}
 }
 ```