google

/

gemma-7b-it

like 1.07k

Can't seem to do:
from transformers import pipeline
what versions of keras, tensorflow, transformers, etc are you guys using? Full traceback below:

AttributeError Traceback (most recent call last)
File /opt/conda/lib/python3.10/site-packages/transformers/utils/import_utils.py:1390, in _LazyModule._get_module(self, module_name)
1389 try:
-> 1390 return importlib.import_module("." + module_name, self.name)
1391 except Exception as e:

File /opt/conda/lib/python3.10/importlib/init.py:126, in import_module(name, package)
125 level += 1
--> 126 return _bootstrap._gcd_import(name[level:], package, level)

File :1050, in _gcd_import(name, package, level)

File :1027, in find_and_load(name, import)

File :1006, in find_and_load_unlocked(name, import)

File :688, in _load_unlocked(spec)

File :883, in exec_module(self, module)

File :241, in _call_with_frames_removed(f, *args, **kwds)

File /opt/conda/lib/python3.10/site-packages/transformers/pipelines/init.py:74
73 from .question_answering import QuestionAnsweringArgumentHandler, QuestionAnsweringPipeline
---> 74 from .table_question_answering import TableQuestionAnsweringArgumentHandler, TableQuestionAnsweringPipeline
75 from .text2text_generation import SummarizationPipeline, Text2TextGenerationPipeline, TranslationPipeline

File /opt/conda/lib/python3.10/site-packages/transformers/pipelines/table_question_answering.py:26
25 import tensorflow as tf
---> 26 import tensorflow_probability as tfp
28 from ..models.auto.modeling_tf_auto import (
29 TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES,
30 TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING_NAMES,
31 )

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/init.py:20
17 # Contributors to the python/ dir should not alter this file; instead update
18 # python/__init__.py as necessary.
---> 20 from tensorflow_probability import substrates
21 # from tensorflow_probability.google import staging # DisableOnExport
22 # from tensorflow_probability.google import tfp_google # DisableOnExport

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/substrates/init.py:17
15 """TensorFlow Probability alternative substrates."""
---> 17 from tensorflow_probability.python.internal import all_util
18 from tensorflow_probability.python.internal import lazy_loader # pylint: disable=g-direct-tensorflow-import

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/init.py:138
137 for pkg_name in _maybe_nonlazy_load:
--> 138 dir(globals()[pkg_name]) # Forces loading the package from its lazy loader.
141 all_util.remove_undocumented(name, _lazy_load + _maybe_nonlazy_load)

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/internal/lazy_loader.py:57, in LazyLoader.dir(self)
56 def dir(self):
---> 57 module = self._load()
58 return dir(module)

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/internal/lazy_loader.py:40, in LazyLoader._load(self)
39 # Import the target module and insert it into the parent's namespace
---> 40 module = importlib.import_module(self.name)
41 if self._parent_module_globals is not None:

File /opt/conda/lib/python3.10/importlib/init.py:126, in import_module(name, package)
125 level += 1
--> 126 return _bootstrap._gcd_import(name[level:], package, level)

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/experimental/init.py:31
30 from tensorflow_probability.python.experimental import auto_batching
---> 31 from tensorflow_probability.python.experimental import bayesopt
32 from tensorflow_probability.python.experimental import bijectors

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/experimental/bayesopt/init.py:17
15 """TensorFlow Probability experimental Bayesopt package."""
---> 17 from tensorflow_probability.python.experimental.bayesopt import acquisition
18 from tensorflow_probability.python.internal import all_util

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/experimental/bayesopt/acquisition/init.py:19
18 from tensorflow_probability.python.experimental.bayesopt.acquisition.acquisition_function import MCMCReducer
---> 19 from tensorflow_probability.python.experimental.bayesopt.acquisition.expected_improvement import GaussianProcessExpectedImprovement
20 from tensorflow_probability.python.experimental.bayesopt.acquisition.expected_improvement import ParallelExpectedImprovement

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/experimental/bayesopt/acquisition/expected_improvement.py:19
17 import tensorflow.compat.v2 as tf
---> 19 from tensorflow_probability.python.distributions import normal
20 from tensorflow_probability.python.distributions import student_t

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/distributions/init.py:110
109 from tensorflow_probability.python.distributions.pert import PERT
--> 110 from tensorflow_probability.python.distributions.pixel_cnn import PixelCNN
111 from tensorflow_probability.python.distributions.plackett_luce import PlackettLuce

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/distributions/pixel_cnn.py:33
32 from tensorflow_probability.python.internal import tensorshape_util
---> 33 from tensorflow_probability.python.layers import weight_norm
36 class PixelCNN(distribution.Distribution):

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/layers/init.py:27
26 from tensorflow_probability.python.layers.dense_variational_v2 import DenseVariational
---> 27 from tensorflow_probability.python.layers.distribution_layer import CategoricalMixtureOfOneHotCategorical
28 from tensorflow_probability.python.layers.distribution_layer import DistributionLambda

File /opt/conda/lib/python3.10/site-packages/tensorflow_probability/python/layers/distribution_layer.py:68
50 all = [
51 'CategoricalMixtureOfOneHotCategorical',
52 'DistributionLambda',
(...)
64 'VariationalGaussianProcess',
65 ]
---> 68 tf.keras.internal.utils.register_symbolic_tensor_type(dtc._TensorCoercible) # pylint: disable=protected-access
71 def _event_size(event_shape, name=None):

AttributeError: module 'keras._tf_keras.keras' has no attribute 'internal'

The above exception was the direct cause of the following exception:

RuntimeError Traceback (most recent call last)
Cell In[1], line 2
1 #from tensorflow import keras
----> 2 from transformers import pipeline

File :1075, in handle_fromlist(module, fromlist, import, recursive)

File /opt/conda/lib/python3.10/site-packages/transformers/utils/import_utils.py:1380, in _LazyModule.getattr(self, name)
1378 value = self._get_module(name)
1379 elif name in self._class_to_module.keys():
-> 1380 module = self._get_module(self._class_to_module[name])
1381 value = getattr(module, name)
1382 else:

File /opt/conda/lib/python3.10/site-packages/transformers/utils/import_utils.py:1392, in _LazyModule._get_module(self, module_name)
1390 return importlib.import_module("." + module_name, self.name)
1391 except Exception as e:
-> 1392 raise RuntimeError(
1393 f"Failed to import {self.name}.{module_name} because of the following error (look up to see its"
1394 f" traceback):\n{e}"
1395 ) from e

RuntimeError: Failed to import transformers.pipelines because of the following error (look up to see its traceback):
module 'keras._tf_keras.keras' has no attribute 'internal'