How to parallelize this code for model.generate?

As the title says, how can I parallelize this?

```
def generate_output(row):
inputs = tokenizer(prompt, return_tensors="pt")["input_ids"]
outputs = model.generate(inputs, max_new_tokens=185, temperature=0.0, eos_token_id=tokenizer.encode("}")[0])
result = tokenizer.decode(outputs[0])
completion = extract_completion(result)

for index, row in df.iterrows():
generate_output(row)
```