johnkk commited on
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26fc1c3
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1 Parent(s): 94dd7e1

Fix model name causing duplicate download & variable name error

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  1. README.md +2 -2
README.md CHANGED
@@ -129,7 +129,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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  import torch
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  import soundfile as sf
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- llasa_1b ='HKUSTAudio/Llasa-1b'
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  tokenizer = AutoTokenizer.from_pretrained(llasa_1b)
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  model = AutoModelForCausalLM.from_pretrained(llasa_1b)
@@ -148,7 +148,7 @@ prompt_wav, sr = sf.read("太乙真人.wav") # you can find wav in Files
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  prompt_wav = torch.from_numpy(prompt_wav).float().unsqueeze(0)
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  prompt_text ="对,这就是我万人敬仰的太乙真人,虽然有点婴儿肥,但也掩不住我逼人的帅气。"
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- #promt_text = "A chance to leave him alone, but... No. She just wanted to see him again. Anna, you don't know how it feels to lose a sister. Anna, I'm sorry, but your father asked me not to tell you anything."
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  target_text = '突然,身边一阵笑声。我看着他们,意气风发地挺直了胸膛,甩了甩那稍显肉感的双臂,轻笑道:"我身上的肉,是为了掩饰我爆棚的魅力,否则,岂不吓坏了你们呢?"'
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  #target_text = "Dealing with family secrets is never easy. Yet, sometimes, omission is a form of protection, intending to safeguard some from the harsh truths. One day, I hope you understand the reasons behind my actions. Until then, Anna, please, bear with me."
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  input_text = prompt_text + ' ' + target_text
 
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  import torch
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  import soundfile as sf
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+ llasa_1b ='HKUSTAudio/Llasa-1B'
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  tokenizer = AutoTokenizer.from_pretrained(llasa_1b)
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  model = AutoModelForCausalLM.from_pretrained(llasa_1b)
 
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  prompt_wav = torch.from_numpy(prompt_wav).float().unsqueeze(0)
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  prompt_text ="对,这就是我万人敬仰的太乙真人,虽然有点婴儿肥,但也掩不住我逼人的帅气。"
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+ #prompt_text = "A chance to leave him alone, but... No. She just wanted to see him again. Anna, you don't know how it feels to lose a sister. Anna, I'm sorry, but your father asked me not to tell you anything."
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  target_text = '突然,身边一阵笑声。我看着他们,意气风发地挺直了胸膛,甩了甩那稍显肉感的双臂,轻笑道:"我身上的肉,是为了掩饰我爆棚的魅力,否则,岂不吓坏了你们呢?"'
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  #target_text = "Dealing with family secrets is never easy. Yet, sometimes, omission is a form of protection, intending to safeguard some from the harsh truths. One day, I hope you understand the reasons behind my actions. Until then, Anna, please, bear with me."
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  input_text = prompt_text + ' ' + target_text