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apikey.py

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+apikey_hungingface = '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'

app.py

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+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+checkpoint = "bigcode/starcoder"
+device = "cpu" # for GPU usage or "cpu" for CPU usage
+api_key = "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"
+tokenizer = AutoTokenizer.from_pretrained(checkpoint, use_auth_token=api_key)
+model = AutoModelForCausalLM.from_pretrained(checkpoint, use_auth_token=api_key).to(device)
+
+inputs = tokenizer.encode("def print_hello_world ():", return_tensors="pt").to(device)
+outputs = model.generate(inputs)
+print(tokenizer.decode(outputs[0]))