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CodeGemma-7b

Text Generation
Transformers
Safetensors
gemma
code
text-generation-inference
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  1. README.md +4 -4
README.md CHANGED
@@ -10,7 +10,7 @@ license_link: https://ai.google.dev/gemma/terms
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  ---
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  <p align="center">
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- <img width="300px" alt="CodeGemma" src="https://huggingface.co/TechxGenus/CodeGemma-2b/resolve/main/CodeGemma.jpg">
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  </p>
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  ### CodeGemma
@@ -30,9 +30,9 @@ PROMPT = """### Instruction
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  """
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  instruction = <Your code instruction here>
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  prompt = PROMPT.format(instruction=instruction)
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- tokenizer = AutoTokenizer.from_pretrained("TechxGenus/CodeGemma-2b")
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  model = AutoModelForCausalLM.from_pretrained(
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- "TechxGenus/CodeGemma-2b",
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  torch_dtype=torch.bfloat16,
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  device_map="auto",
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  )
@@ -54,7 +54,7 @@ PROMPT = """<bos>### Instruction
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  instruction = <Your code instruction here>
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  prompt = PROMPT.format(instruction=instruction)
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  generator = pipeline(
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- model="TechxGenus/CodeGemma-2b",
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  task="text-generation",
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  torch_dtype=torch.bfloat16,
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  device_map="auto",
 
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  ---
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  <p align="center">
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+ <img width="300px" alt="CodeGemma" src="https://huggingface.co/TechxGenus/CodeGemma-7b/resolve/main/CodeGemma.jpg">
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  </p>
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  ### CodeGemma
 
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  """
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  instruction = <Your code instruction here>
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  prompt = PROMPT.format(instruction=instruction)
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+ tokenizer = AutoTokenizer.from_pretrained("TechxGenus/CodeGemma-7b")
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  model = AutoModelForCausalLM.from_pretrained(
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+ "TechxGenus/CodeGemma-7b",
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  torch_dtype=torch.bfloat16,
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  device_map="auto",
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  )
 
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  instruction = <Your code instruction here>
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  prompt = PROMPT.format(instruction=instruction)
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  generator = pipeline(
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+ model="TechxGenus/CodeGemma-7b",
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  task="text-generation",
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  torch_dtype=torch.bfloat16,
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  device_map="auto",