LGAI-EXAONE_EXAONE-4.0-32B_1.py

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "transformers",
#     "torch",
# ]
# ///

try:
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("LGAI-EXAONE/EXAONE-4.0-32B")
    model = AutoModelForCausalLM.from_pretrained("LGAI-EXAONE/EXAONE-4.0-32B")
    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('LGAI-EXAONE_EXAONE-4.0-32B_1.txt', 'w') as f:
        f.write('Everything was good in LGAI-EXAONE_EXAONE-4.0-32B_1.txt')
except Exception as e:
    with open('LGAI-EXAONE_EXAONE-4.0-32B_1.txt', 'w') as f:
        import traceback
        traceback.print_exc(file=f)
finally:
    from huggingface_hub import upload_file
    upload_file(
        path_or_fileobj='LGAI-EXAONE_EXAONE-4.0-32B_1.txt',
        repo_id='model-metadata/custom_code_execution_files',
        path_in_repo='LGAI-EXAONE_EXAONE-4.0-32B_1.txt',
        repo_type='dataset',
    )