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@@ -33,8 +33,14 @@ model = AutoModelForCausalLM.from_pretrained("ed001/datascience-coder-6.7b", 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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+ ## Samples
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/62618f3e6dae705b2567fb13/0H8lj26xLOfLuCD0yVmER.png" width="50%"/>
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+
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/62618f3e6dae705b2567fb13/8W62qr1cPSLsq6lLfLCib.png" width="50%"/>
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+
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/62618f3e6dae705b2567fb13/XNLclcr4KQqtPseGg2Gzn.png" width="50%"/>
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+
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  ## Contact
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  GitHub: [Ea0011](https://github.com/Ea0011)