SNUH-HARI
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DeepSeek-llama3.1-HARI-8B

Text Generation

text-generation-inference

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SNUH-HARI commited on Feb 22

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@@ -55,7 +55,7 @@ You can use the model via **Hugging Face Transformers**:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
-model_name = "Seoul National University Hospital (SNUH)-HARI/DeepSeek-llama3.1-HARI-8B"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)

 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
+model_name = "SNUH-HARI/DeepSeek-llama3.1-HARI-8B"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)