Create use.py

use.py

@@ -0,0 +1,25 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+path = "spark_v4_fp16_final"
+tokenizer = AutoTokenizer.from_pretrained(path)
+model = AutoModelForCausalLM.from_pretrained(path).to("cuda")
+
+prompts = [
+    "Artificial Intelligence is",
+    "The main concept of physics is",
+    "In the year 1969, "
+]
+
+for prompt in prompts:
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+    outputs = model.generate(
+        **inputs, 
+        max_new_tokens=200, 
+        do_sample=True, 
+        top_k=25, 
+        temperature=0.8,
+        pad_token_id=tokenizer.eos_token_id
+    )
+    print(f"PROMPT: {prompt}")
+    print(f"OUTPUT: {tokenizer.decode(outputs[0], skip_special_tokens=True)}\n{'-'*40}")