提示引用模块不对，我换了好几个版本一直不行

[chenlei528884440]

Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 7/7 [00:01<00:00, 4.41it/s]
The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's attention_mask to obtain reliable results.
The seen_tokens attribute is deprecated and will be removed in v4.41. Use the cache_position model input instead.
Traceback (most recent call last):
File "G:\transformers\trains.py", line 28, in
outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)
File "C:\Users\User\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "C:\Users\User\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\transformers\generation\utils.py", line 2223, in generate
result = self._sample(
File "C:\Users\User\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\transformers\generation\utils.py", line 3204, in _sample
model_inputs = self.prepare_inputs_for_generation(input_ids, **model_kwargs)
File "C:\Users\User.cache\huggingface\modules\transformers_modules\deepseek-moe-16b-chat\modeling_deepseek.py", line 1382, in prepare_inputs_for_generation
max_cache_length = past_key_values.get_max_length()
File "C:\Users\User\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\torch\nn\modules\module.py", line 1928, in getattr
raise AttributeError(
AttributeError: 'DynamicCache' object has no attribute 'get_max_length'. Did you mean: 'get_seq_length'?