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import os
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
MODEL_NAME = "bigcode/starcoderbase-1b"
HF_TOKEN = os.getenv("HUGGINGFACE_TOKEN")
# Force CPU mode
device = "cpu" # Change this from "cuda"
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, token=HF_TOKEN)
model = AutoModelForCausalLM.from_pretrained(
MODEL_NAME,
token=HF_TOKEN,
torch_dtype=torch.float16, # Keep memory low
device_map="auto", # Still allows auto placement
trust_remote_code=True
).to(device)
def generate_code(prompt: str, max_tokens: int = 256):
inputs = tokenizer(prompt, return_tensors="pt").to(device)
output = model.generate(**inputs, max_new_tokens=max_tokens)
return tokenizer.decode(output[0], skip_special_tokens=True)
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