Update hallucination_detection_lora/README.md
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hallucination_detection_lora/README.md
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@@ -96,7 +96,7 @@ As explained above, it is highly recommended to use the LoRA adapter through [gr
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However, if you prefer to invoke the LoRA adapter directly, you can use the following code.
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```
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import torch
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@@ -106,7 +106,7 @@ from nltk import tokenize
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import json
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BASE_NAME = "ibm-granite/granite-3.3-8b-instruct"
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LORA_NAME = "
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def get_device():
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"""
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However, if you prefer to invoke the LoRA adapter directly, you can use the following code. Before running the script, set the `LORA_NAME` parameter to the path of the directory that you downloaded the LoRA adapter. The download process is explained [here](https://huggingface.co/ibm-granite/granite-3.3-8b-rag-agent-lib#quickstart-example).
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```
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import torch
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import json
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BASE_NAME = "ibm-granite/granite-3.3-8b-instruct"
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LORA_NAME = "PATH_TO_DOWNLOADED_DIRECTORY"
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def get_device():
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"""
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