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1 Parent(s): 99cc735

Update app.py

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  1. app.py +5 -0
app.py CHANGED
@@ -106,9 +106,14 @@ def get_model():
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  #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln109Paraphrase")
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  #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln109Paraphrase")
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  tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln110Paraphrase")
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  model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln110Paraphrase")
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  #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln101Paraphrase")
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  #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln101Paraphrase")
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  #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln109Paraphrase")
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  #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln109Paraphrase")
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+ tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln113Paraphrase")
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+ model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln113Paraphrase")
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+
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  tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln110Paraphrase")
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  model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln110Paraphrase")
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+ #BigSalmon/InformalToFormalLincoln113Paraphrase
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+
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  #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln101Paraphrase")
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  #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln101Paraphrase")
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