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Update README.md

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@@ -8,7 +8,7 @@ pipeline_tag: text-generation
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  license: mit
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  ---
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- # **phi-2-test**
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  ## Model Details
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  **Model Developers**
@@ -31,7 +31,7 @@ license: mit
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  | Model | Copa | HellaSwag | BoolQ | MMLU |
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  | --- | --- | --- | --- | --- |
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  | | 0-shot | 0-shot | 0-shot | 0-shot |
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- | **field2437/phi-2-test** | 0.8900 | 0.5573 | 0.8260 | 0.5513 |
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  ---
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  # Sample Code
@@ -41,8 +41,8 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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  torch.set_default_device("cuda")
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- model = AutoModelForCausalLM.from_pretrained("field2437/phi-2-test", torch_dtype="auto", trust_remote_code=True)
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- tokenizer = AutoTokenizer.from_pretrained("field2437/phi-2-test", trust_remote_code=True)
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  inputs = tokenizer('''Below is an instruction that describes a task. Write a response that appropriately completes the request.
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  license: mit
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  ---
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+ # **phi-2-platypus-Commercial-lora**
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  ## Model Details
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  **Model Developers**
 
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  | Model | Copa | HellaSwag | BoolQ | MMLU |
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  | --- | --- | --- | --- | --- |
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  | | 0-shot | 0-shot | 0-shot | 0-shot |
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+ | **phi-2-platypus-Commercial-lora** | 0.8900 | 0.5573 | 0.8260 | 0.5513 |
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  ---
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  # Sample Code
 
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  torch.set_default_device("cuda")
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+ model = AutoModelForCausalLM.from_pretrained("field2437/phi-2-platypus-Commercial-lora", torch_dtype="auto", trust_remote_code=True)
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+ tokenizer = AutoTokenizer.from_pretrained("field2437/phi-2-platypus-Commercial-lora", trust_remote_code=True)
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  inputs = tokenizer('''Below is an instruction that describes a task. Write a response that appropriately completes the request.
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