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Version
See the console output for PyABSA, Torch, Transformers Version
pyabsa=2.3.4, torch=2.2.0,transformer=4.29.0
Describe the bug
Hello, I tried to use a pre-trained model on jupyter, I put the pre-trained model in.ipynb_checkpoints files, but there were runtime error, thank you for your answers.
Code To Reproduce
from pyabsa import ABSADatasetList, available_checkpoints
from pyabsa import ATEPCCheckpointManager
aspect_extractor = ATEPCCheckpointManager.get_aspect_extractor(checkpoint='Chinese',
auto_device=False # False means load model on CPU
)
[2024-02-17 09:55:41] (2.3.4) Fail to download checkpoints info from huggingface space, try to download from local
[2024-02-17 09:55:41] (2.3.4) No checkpoint found in Model Hub for task: Chinese
[2024-02-17 09:55:41] (2.3.4) Load aspect extractor from .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69
[2024-02-17 09:55:41] (2.3.4) config: .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69\fast_lcf_atepc.config
[2024-02-17 09:55:41] (2.3.4) state_dict: .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69\fast_lcf_atepc.state_dict
[2024-02-17 09:55:41] (2.3.4) model: None
[2024-02-17 09:55:41] (2.3.4) tokenizer: .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69\fast_lcf_atepc.tokenizer
ModuleNotFoundError Traceback (most recent call last)
File D:\anaconda\envs\absa\Lib\site-packages\pyabsa\tasks\AspectTermExtraction\prediction\aspect_extractor.py:83, in AspectExtractor.init(self, checkpoint, **kwargs)
82 with open(config_path, mode="rb") as f:
---> 83 self.config = pickle.load(f)
84 self.config.auto_device = kwargs.get("auto_device", True)
ModuleNotFoundError: No module named 'pyabsa.functional'
During handling of the above exception, another exception occurred:
RuntimeError Traceback (most recent call last)
Cell In[2], line 1
----> 1 aspect_extractor = ATEPCCheckpointManager.get_aspect_extractor(checkpoint='Chinese',
2 auto_device=False # False means load model on CPU
3 )
File D:\anaconda\envs\absa\Lib\site-packages\pyabsa\framework\checkpoint_class\checkpoint_template.py:223, in ATEPCCheckpointManager.get_aspect_extractor(checkpoint, **kwargs)
210 @staticmethod
211 def get_aspect_extractor(
212 checkpoint: Union[str, Path] = None, **kwargs
213 ) -> "AspectExtractor":
214 """
215 Get an AspectExtractor object initialized with the given checkpoint for Aspect Term Extraction and Polarity Classification.
216
(...)
220 :return: An AspectExtractor object initialized with the given checkpoint.
221 """
--> 223 return AspectExtractor(
224 CheckpointManager().parse_checkpoint(
225 checkpoint, TaskCodeOption.Aspect_Term_Extraction_and_Classification
226 )
227 )
File D:\anaconda\envs\absa\Lib\site-packages\pyabsa\tasks\AspectTermExtraction\prediction\aspect_extractor.py:131, in AspectExtractor.init(self, checkpoint, **kwargs)
128 self.tokenizer = pickle.load(f)
130 except Exception as e:
--> 131 raise RuntimeError(
132 "Exception: {} Fail to load the model from {}! ".format(
133 e, self.checkpoint
134 )
135 )
137 if not hasattr(ATEPCModelList, self.model.class.name):
138 raise KeyError(
139 "The checkpoint you are loading is not from any ATEPC model."
140 )
RuntimeError: Exception: No module named 'pyabsa.functional' Fail to load the model from .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69!
The text was updated successfully, but these errors were encountered:
Version
See the console output for PyABSA, Torch, Transformers Version
pyabsa=2.3.4, torch=2.2.0,transformer=4.29.0
Describe the bug
Hello, I tried to use a pre-trained model on jupyter, I put the pre-trained model in.ipynb_checkpoints files, but there were runtime error, thank you for your answers.
Code To Reproduce
from pyabsa import ABSADatasetList, available_checkpoints
from pyabsa import ATEPCCheckpointManager
aspect_extractor = ATEPCCheckpointManager.get_aspect_extractor(checkpoint='Chinese',
auto_device=False # False means load model on CPU
)
[2024-02-17 09:55:41] (2.3.4) Fail to download checkpoints info from huggingface space, try to download from local
[2024-02-17 09:55:41] (2.3.4) No checkpoint found in Model Hub for task: Chinese
[2024-02-17 09:55:41] (2.3.4) Load aspect extractor from .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69
[2024-02-17 09:55:41] (2.3.4) config: .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69\fast_lcf_atepc.config
[2024-02-17 09:55:41] (2.3.4) state_dict: .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69\fast_lcf_atepc.state_dict
[2024-02-17 09:55:41] (2.3.4) model: None
[2024-02-17 09:55:41] (2.3.4) tokenizer: .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69\fast_lcf_atepc.tokenizer
ModuleNotFoundError Traceback (most recent call last)
File D:\anaconda\envs\absa\Lib\site-packages\pyabsa\tasks\AspectTermExtraction\prediction\aspect_extractor.py:83, in AspectExtractor.init(self, checkpoint, **kwargs)
82 with open(config_path, mode="rb") as f:
---> 83 self.config = pickle.load(f)
84 self.config.auto_device = kwargs.get("auto_device", True)
ModuleNotFoundError: No module named 'pyabsa.functional'
During handling of the above exception, another exception occurred:
RuntimeError Traceback (most recent call last)
Cell In[2], line 1
----> 1 aspect_extractor = ATEPCCheckpointManager.get_aspect_extractor(checkpoint='Chinese',
2 auto_device=False # False means load model on CPU
3 )
File D:\anaconda\envs\absa\Lib\site-packages\pyabsa\framework\checkpoint_class\checkpoint_template.py:223, in ATEPCCheckpointManager.get_aspect_extractor(checkpoint, **kwargs)
210 @staticmethod
211 def get_aspect_extractor(
212 checkpoint: Union[str, Path] = None, **kwargs
213 ) -> "AspectExtractor":
214 """
215 Get an AspectExtractor object initialized with the given checkpoint for Aspect Term Extraction and Polarity Classification.
216
(...)
220 :return: An AspectExtractor object initialized with the given checkpoint.
221 """
--> 223 return AspectExtractor(
224 CheckpointManager().parse_checkpoint(
225 checkpoint, TaskCodeOption.Aspect_Term_Extraction_and_Classification
226 )
227 )
File D:\anaconda\envs\absa\Lib\site-packages\pyabsa\tasks\AspectTermExtraction\prediction\aspect_extractor.py:131, in AspectExtractor.init(self, checkpoint, **kwargs)
128 self.tokenizer = pickle.load(f)
130 except Exception as e:
--> 131 raise RuntimeError(
132 "Exception: {} Fail to load the model from {}! ".format(
133 e, self.checkpoint
134 )
135 )
137 if not hasattr(ATEPCModelList, self.model.class.name):
138 raise KeyError(
139 "The checkpoint you are loading is not from any ATEPC model."
140 )
RuntimeError: Exception: No module named 'pyabsa.functional' Fail to load the model from .ipynb_checkpoints\fast_lcf_atepc_Chinese_cdw_apcacc_96.09_apcf1_95.14_atef1_83.69!
The text was updated successfully, but these errors were encountered: