```CODE: 
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ByteDance-Seed/Stable-DiffCoder-8B-Instruct", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("ByteDance-Seed/Stable-DiffCoder-8B-Instruct", trust_remote_code=True)
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]:]))
```

ERROR: 
Traceback (most recent call last):
  File "/tmp/ByteDance-Seed_Stable-DiffCoder-8B-Instruct_1H3wK31.py", line 39, in <module>
    outputs = model.generate(**inputs, max_new_tokens=40)
  File "/tmp/.cache/uv/environments-v2/d3eb16abd23c0167/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
  File "/tmp/.cache/huggingface/modules/transformers_modules/ByteDance_hyphen_Seed/Stable_hyphen_DiffCoder_hyphen_8B_hyphen_Instruct/d0808fa34fa03de9163a29cabfc7107294a535a8/modeling_seed_diffcoder.py", line 24, in generate
    output_ids, nfe = generate_block(
                      ~~~~~~~~~~~~~~^
        model=self,
        ^^^^^^^^^^^
        prompt=prompt,
        ^^^^^^^^^^^^^^
        **kwargs,
        ^^^^^^^^^
    )
    ^
  File "/tmp/.cache/uv/environments-v2/d3eb16abd23c0167/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
    return func(*args, **kwargs)
TypeError: generate_block() got an unexpected keyword argument 'attention_mask'