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README.md
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@@ -66,6 +66,9 @@ To simplify the comparision, we chosed the Pass@1 metric on python language, but
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- we will provide much more benchmark scores on fine-tuned models in future.
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- we will provide different practical problems to evaluate the performance of fine-tuned models in the field of software engineering.
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```python
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from transformers import AutoTokenizer
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import transformers
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- we will provide much more benchmark scores on fine-tuned models in future.
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- we will provide different practical problems to evaluate the performance of fine-tuned models in the field of software engineering.
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# Model Usage
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```python
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from transformers import AutoTokenizer
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import transformers
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