Create inference.py

inference.py

@@ -0,0 +1,32 @@
+print("[*] Loading libraries...")
+import torch
+from transformers import LlamaForCausalLM, PreTrainedTokenizerFast
+
+model_path = "./llama-sub-1m-final"
+
+print("[*] Loading tokenizer...")
+tokenizer = PreTrainedTokenizerFast.from_pretrained(model_path)
+
+print("[*] Loading model...")
+model = LlamaForCausalLM.from_pretrained(model_path)
+model.eval()
+
+prompt = "Artificial intelligence is "
+print(f"[*] Prompt: {prompt!r}")
+
+inputs = tokenizer(prompt, return_tensors="pt")
+
+with torch.no_grad():
+    outputs = model.generate(
+        input_ids=inputs["input_ids"],
+        attention_mask=inputs["attention_mask"],
+        max_new_tokens=150,
+        do_sample=True,
+        temperature=0.35,
+        top_p=0.85,
+        repetition_penalty=1.2,
+        pad_token_id=tokenizer.pad_token_id,
+        eos_token_id=tokenizer.eos_token_id,
+    )
+
+print("[*] Output:", tokenizer.decode(outputs[0], skip_special_tokens=True))