Upload google_gemma-3-1b-it_0.py with huggingface_hub

google_gemma-3-1b-it_0.py

@@ -14,6 +14,34 @@
 try:
     from huggingface_hub import login
     login(new_session=False)
+    
+    # Use a pipeline as a high-level helper
+    from transformers import pipeline
+    
+    pipe = pipeline("text-generation", model="google/gemma-3-1b-it")
+    messages = [
+        {"role": "user", "content": "Who are you?"},
+    ]
+    pipe(messages)
+    
+    # Load model directly
+    from transformers import AutoTokenizer, AutoModelForCausalLM
+    
+    tokenizer = AutoTokenizer.from_pretrained("google/gemma-3-1b-it")
+    model = AutoModelForCausalLM.from_pretrained("google/gemma-3-1b-it")
+    messages = [
+        {"role": "user", "content": "Who are you?"},
+    ]
+    inputs = tokenizer.apply_chat_template(
+    	messages,
+    	add_generation_prompt=True,
+    	tokenize=True,
+    	return_dict=True,
+    	return_tensors="pt",
+    ).to(model.device)
+    
+    outputs = model.generate(**inputs, max_new_tokens=40)
+    print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
     with open('google_gemma-3-1b-it_0.txt', 'w') as f:
         f.write('Everything was good in google_gemma-3-1b-it_0.txt')
 except Exception as e: