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Update README.md

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@@ -17,7 +17,7 @@ Note: Persian was not in pretraining.
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
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  # Load model and tokenizer
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- tokenizer = AutoTokenizer.from_pretrained(""mostafaamiri/persian_llama_7B_merged"")
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  model = AutoModelForSequenceClassification.from_pretrained('tum-nlp/neural-news-generator-bloomz-7b1-fa')
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  # Create the pipeline for neural news generation and set the repetition penalty >1.1 to punish repetition.
 
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
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  # Load model and tokenizer
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+ tokenizer = AutoTokenizer.from_pretrained("bigscience/bloomz-7b1")
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  model = AutoModelForSequenceClassification.from_pretrained('tum-nlp/neural-news-generator-bloomz-7b1-fa')
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  # Create the pipeline for neural news generation and set the repetition penalty >1.1 to punish repetition.