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  # code-gemma
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  Google's `gemma-2b-it` trained `code_instructions_122k_alpaca_style` dataset
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # code-gemma
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  Google's `gemma-2b-it` trained `code_instructions_122k_alpaca_style` dataset
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+ # Usage
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+ ```py
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+ # Use a pipeline as a high-level helper
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+ from transformers import pipeline
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+
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+ pipe = pipeline("text-generation", model="gnumanth/code-gemma")
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+ ```
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+ ```
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+ # Load model directly
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+ from transformers import AutoTokenizer, AutoModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("gnumanth/code-gemma")
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+ model = AutoModelForCausalLM.from_pretrained("gnumanth/code-gemma")
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+ ```
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+ [Hemanth HM](https://h3manth.com)