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ByteDance-Seed_Stable-DiffCoder-8B-Instruct_0.txt
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```CODE:
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("text-generation", model="ByteDance-Seed/Stable-DiffCoder-8B-Instruct", trust_remote_code=True)
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messages = [
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{"role": "user", "content": "Who are you?"},
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]
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pipe(messages)
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```
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ERROR:
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Traceback (most recent call last):
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File "/tmp/ByteDance-Seed_Stable-DiffCoder-8B-Instruct_009XsTD.py", line 30, in <module>
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pipe(messages)
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~~~~^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/d1df88e7f5c3f72a/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 325, in __call__
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return super().__call__(Chat(text_inputs), **kwargs)
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~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/d1df88e7f5c3f72a/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1467, in __call__
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return self.run_single(inputs, preprocess_params, forward_params, postprocess_params)
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~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/d1df88e7f5c3f72a/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1474, in run_single
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model_outputs = self.forward(model_inputs, **forward_params)
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File "/tmp/.cache/uv/environments-v2/d1df88e7f5c3f72a/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1374, in forward
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model_outputs = self._forward(model_inputs, **forward_params)
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File "/tmp/.cache/uv/environments-v2/d1df88e7f5c3f72a/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 432, in _forward
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output = self.model.generate(input_ids=input_ids, attention_mask=attention_mask, **generate_kwargs)
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File "/tmp/.cache/uv/environments-v2/d1df88e7f5c3f72a/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
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return func(*args, **kwargs)
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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
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output_ids, nfe = generate_block(
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~~~~~~~~~~~~~~^
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model=self,
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^^^^^^^^^^^
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prompt=prompt,
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^^^^^^^^^^^^^^
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**kwargs,
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^^^^^^^^^
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)
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^
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File "/tmp/.cache/uv/environments-v2/d1df88e7f5c3f72a/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
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return func(*args, **kwargs)
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TypeError: generate_block() got an unexpected keyword argument 'attention_mask'
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