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@@ -32,8 +32,8 @@ This model was fine-tuned with reinforcement learning to extract structured info
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  You can use this model to extract structured information from text with the following code:
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  ```python
 
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  !pip install -q transformers>=4.36.0 accelerate>=0.24.0 huggingface_hub>=0.18.0
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- !pip install -q bitsandbytes>=0.41.0
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  # No need to install notebook-login as it's included in huggingface_hub
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  from transformers import AutoModelForCausalLM, AutoTokenizer
 
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  You can use this model to extract structured information from text with the following code:
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  ```python
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+ !pip install -U bitsandbytes
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  !pip install -q transformers>=4.36.0 accelerate>=0.24.0 huggingface_hub>=0.18.0
 
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  # No need to install notebook-login as it's included in huggingface_hub
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  from transformers import AutoModelForCausalLM, AutoTokenizer