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@@ -30,7 +30,7 @@ For batch processing, the model takes as input
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  The model compresses the questions into context embeddings and answers the question based on the provided context embeddings.
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  ```python
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- from transformers import AutoModelForCausalLM
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  model = AutoModel.from_pretrained('naver/cocom-v1-16-mistral-7b', trust_remote_code=True)
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  model = model.to('cuda')
 
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  The model compresses the questions into context embeddings and answers the question based on the provided context embeddings.
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  ```python
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+ from transformers import AutoModel
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  model = AutoModel.from_pretrained('naver/cocom-v1-16-mistral-7b', trust_remote_code=True)
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  model = model.to('cuda')