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@@ -18,6 +18,7 @@ datasets:
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  ## Fintuned Salesforce/codet5-small base model using 1000000 rows of data with git commits of different types of random languages for 5 epochs
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  ## Took a total of 10 hours in a gpu of RTX 4060TI 16GB VRAM.
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  ## Use the below instructions for inference
 
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  ```
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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  ## Fintuned Salesforce/codet5-small base model using 1000000 rows of data with git commits of different types of random languages for 5 epochs
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  ## Took a total of 10 hours in a gpu of RTX 4060TI 16GB VRAM.
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  ## Use the below instructions for inference
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+ ## Modules required- transformers,pytorch,CUDA
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  ```
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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