Deci
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@@ -94,13 +94,14 @@ function's body.
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  ```bibtex
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  # pip install -q transformers
 
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  checkpoint = "Deci/DeciCoder-1b"
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  device = "cuda" # for GPU usage or "cpu" for CPU usage
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  tokenizer = AutoTokenizer.from_pretrained(checkpoint)
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- model = AutoModelForCausalLM.from_pretrained(checkpoint, trust_remote_code=True).to(device)
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  inputs = tokenizer.encode("def print_hello_world():", return_tensors="pt").to(device)
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  outputs = model.generate(inputs, max_new_tokens=100)
 
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  ```bibtex
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  # pip install -q transformers
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+ import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  checkpoint = "Deci/DeciCoder-1b"
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  device = "cuda" # for GPU usage or "cpu" for CPU usage
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  tokenizer = AutoTokenizer.from_pretrained(checkpoint)
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+ model = AutoModelForCausalLM.from_pretrained(checkpoint, torch_dtype=torch.bfloat16, trust_remote_code=True).to(device)
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  inputs = tokenizer.encode("def print_hello_world():", return_tensors="pt").to(device)
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  outputs = model.generate(inputs, max_new_tokens=100)