Hi, I’m having issues using transformers. I’m not familiar with it, I really need help on this.
So this is my code:
from transformers import pipeline, set_seed
import numpy as np
import textwrap
import matplotlib.pyplot as plt
from pprint import pprint
This is the error:
AttributeError Traceback (most recent call last)
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\transformers\utils\import_utils.py:1126, in _LazyModule._get_module(self, module_name)
1125 try:
-> 1126 return importlib.import_module("." + module_name, self.__name__)
1127 except Exception as e:
File ~\anaconda3\envs\Asiwajuflow\lib\importlib\__init__.py:127, in import_module(name, package)
126 level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)
File <frozen importlib._bootstrap>:1030, in _gcd_import(name, package, level)
File <frozen importlib._bootstrap>:1007, in _find_and_load(name, import_)
File <frozen importlib._bootstrap>:986, in _find_and_load_unlocked(name, import_)
File <frozen importlib._bootstrap>:680, in _load_unlocked(spec)
File <frozen importlib._bootstrap_external>:850, in exec_module(self, module)
File <frozen importlib._bootstrap>:228, in _call_with_frames_removed(f, *args, **kwds)
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\transformers\pipelines\__init__.py:45
36 from ..utils import (
37 HUGGINGFACE_CO_RESOLVE_ENDPOINT,
38 is_kenlm_available,
(...)
43 logging,
44 )
---> 45 from .audio_classification import AudioClassificationPipeline
46 from .automatic_speech_recognition import AutomaticSpeechRecognitionPipeline
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\transformers\pipelines\audio_classification.py:21
20 from ..utils import add_end_docstrings, is_torch_available, logging
---> 21 from .base import PIPELINE_INIT_ARGS, Pipeline
24 if is_torch_available():
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\transformers\pipelines\base.py:36
35 from ..image_processing_utils import BaseImageProcessor
---> 36 from ..modelcard import ModelCard
37 from ..models.auto.configuration_auto import AutoConfig
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\transformers\modelcard.py:48
32 from .models.auto.modeling_auto import (
33 MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
34 MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
(...)
46 MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING_NAMES,
47 )
---> 48 from .training_args import ParallelMode
49 from .utils import (
50 MODEL_CARD_NAME,
51 cached_file,
(...)
57 logging,
58 )
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\transformers\training_args.py:30
29 from .debug_utils import DebugOption
---> 30 from .trainer_utils import (
31 EvaluationStrategy,
32 FSDPOption,
33 HubStrategy,
34 IntervalStrategy,
35 SchedulerType,
36 ShardedDDPOption,
37 )
38 from .utils import (
39 ExplicitEnum,
40 cached_property,
(...)
54 requires_backends,
55 )
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\transformers\trainer_utils.py:47
46 if is_tf_available():
---> 47 import tensorflow as tf
50 def seed_worker(_):
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\tensorflow\__init__.py:469
468 try:
--> 469 _keras._load()
470 except ImportError:
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\tensorflow\python\util\lazy_loader.py:41, in LazyLoader._load(self)
40 # Import the target module and insert it into the parent's namespace
---> 41 module = importlib.import_module(self.__name__)
42 self._parent_module_globals[self._local_name] = module
File ~\anaconda3\envs\Asiwajuflow\lib\importlib\__init__.py:127, in import_module(name, package)
126 level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\__init__.py:20
15 """Implementation of the Keras API, the high-level API of TensorFlow.
16
17 Detailed documentation and user guides are available at
18 [keras.io](https://keras.io).
19 """
---> 20 from keras import distribute
21 from keras import models
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\distribute\__init__.py:18
15 """Keras' Distribution Strategy library."""
---> 18 from keras.distribute import sidecar_evaluator
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\distribute\sidecar_evaluator.py:22
21 from tensorflow.python.util import deprecation
---> 22 from keras.optimizers.optimizer_experimental import (
23 optimizer as optimizer_experimental,
24 )
25 from tensorflow.python.util.tf_export import keras_export
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\optimizers\__init__.py:25
24 # Imports needed for deserialization.
---> 25 from keras import backend
26 from keras.optimizers.legacy import adadelta as adadelta_legacy
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\backend\__init__.py:3
1 """AUTOGENERATED. DO NOT EDIT."""
----> 3 from keras.backend import experimental
4 from keras.src.backend import abs
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\backend\experimental\__init__.py:3
1 """AUTOGENERATED. DO NOT EDIT."""
----> 3 from keras.src.backend import disable_tf_random_generator
4 from keras.src.backend import enable_tf_random_generator
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\src\__init__.py:21
20 from keras.src import distribute
---> 21 from keras.src import models
22 from keras.src.engine.input_layer import Input
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\src\models\__init__.py:18
15 """Keras models API."""
---> 18 from keras.src.engine.functional import Functional
19 from keras.src.engine.sequential import Sequential
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\src\engine\functional.py:33
32 from keras.src.engine import node as node_module
---> 33 from keras.src.engine import training as training_lib
34 from keras.src.engine import training_utils
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\src\engine\training.py:41
40 from keras.src.saving import pickle_utils
---> 41 from keras.src.saving import saving_api
42 from keras.src.saving import saving_lib
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\src\saving\saving_api.py:25
24 from keras.src.saving import saving_lib
---> 25 from keras.src.saving.legacy import save as legacy_sm_saving_lib
26 from keras.src.utils import io_utils
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\src\saving\legacy\save.py:27
26 from keras.src.saving.legacy.saved_model import load as saved_model_load
---> 27 from keras.src.saving.legacy.saved_model import load_context
28 from keras.src.saving.legacy.saved_model import save as saved_model_save
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\keras\src\saving\legacy\saved_model\load_context.py:68
65 return _load_context.in_load_context()
---> 68 tf.__internal__.register_load_context_function(in_load_context)
AttributeError: module 'tensorflow.compat.v2.__internal__' has no attribute 'register_load_context_function'
The above exception was the direct cause of the following exception:
RuntimeError Traceback (most recent call last)
Cell In[1], line 1
----> 1 from transformers import pipeline, set_seed
3 import numpy as np
4 import textwrap
File <frozen importlib._bootstrap>:1055, in _handle_fromlist(module, fromlist, import_, recursive)
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\transformers\utils\import_utils.py:1116, in _LazyModule.__getattr__(self, name)
1114 value = self._get_module(name)
1115 elif name in self._class_to_module.keys():
-> 1116 module = self._get_module(self._class_to_module[name])
1117 value = getattr(module, name)
1118 else:
File ~\anaconda3\envs\Asiwajuflow\lib\site-packages\transformers\utils\import_utils.py:1128, in _LazyModule._get_module(self, module_name)
1126 return importlib.import_module("." + module_name, self.__name__)
1127 except Exception as e:
-> 1128 raise RuntimeError(
1129 f"Failed to import {self.__name__}.{module_name} because of the following error (look up to see its"
1130 f" traceback):\n{e}"
1131 ) from e
RuntimeError: Failed to import transformers.pipelines because of the following error (look up to see its traceback):
module 'tensorflow.compat.v2.__internal__' has no attribute 'register_load_context_function'
