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@@ -33,8 +33,16 @@ model = AutoModelForCausalLM.from_pretrained("ed001/datascience-coder-1.3b", tru
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  pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=1024, top_p=0.95)
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  result = pipe(build_instruction_prompt("Perform EDA on the Iris dataset"))
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  print(result[0]['generated_text'])
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-
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  ```
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  ## Contact
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  GitHub: [Ea0011](https://github.com/Ea0011)
 
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  pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=1024, top_p=0.95)
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  result = pipe(build_instruction_prompt("Perform EDA on the Iris dataset"))
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  print(result[0]['generated_text'])
 
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  ```
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+ ## Examples
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+
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+
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/62618f3e6dae705b2567fb13/d3qCHXdrNNlq4VMus7e_S.png" width="50%"/>
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+
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/62618f3e6dae705b2567fb13/pU7flGRav_h1WDCj12RwP.png" width="50%"/>
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+
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/62618f3e6dae705b2567fb13/txFZANcIhaY-6mEe49kTE.png" width="50%"/>
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+
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  ## Contact
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  GitHub: [Ea0011](https://github.com/Ea0011)