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Update README.md

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@@ -66,7 +66,7 @@ model = AutoModelForSequenceClassification.from_pretrained(
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  tokenizer = AutoTokenizer.from_pretrained(base_model_name)
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  # 2. Load the LoRA adapter on top of the base model
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- adapter_path = "tzoulio/news-bias-finder-llama-3.2-1B/checkpoint-4506"
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  model = PeftModel.from_pretrained(model, adapter_path)
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  # 3. Create the pipeline with the specified model and tokenizer
 
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  tokenizer = AutoTokenizer.from_pretrained(base_model_name)
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  # 2. Load the LoRA adapter on top of the base model
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+ adapter_path = "tzoulio/news-bias-finder-llama-3.2-1B"
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  model = PeftModel.from_pretrained(model, adapter_path)
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  # 3. Create the pipeline with the specified model and tokenizer