What is this error?

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
File /opt/conda/lib/python3.10/site-packages/transformers/utils/import_utils.py:1603, in _LazyModule._get_module(self, module_name)
   1602 try:
-> 1603     return importlib.import_module("." + module_name, self.__name__)
   1604 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 <frozen importlib._bootstrap>:1050, in _gcd_import(name, package, level)

File <frozen importlib._bootstrap>:1027, in _find_and_load(name, import_)

File <frozen importlib._bootstrap>:1006, in _find_and_load_unlocked(name, import_)

File <frozen importlib._bootstrap>:688, in _load_unlocked(spec)

File <frozen importlib._bootstrap_external>:883, in exec_module(self, module)

File <frozen importlib._bootstrap>:241, in _call_with_frames_removed(f, *args, **kwds)

File /opt/conda/lib/python3.10/site-packages/transformers/pipelines/__init__.py:26
     25 from ..feature_extraction_utils import PreTrainedFeatureExtractor
---> 26 from ..image_processing_utils import BaseImageProcessor
     27 from ..models.auto.configuration_auto import AutoConfig

File /opt/conda/lib/python3.10/site-packages/transformers/image_processing_utils.py:21
     20 from .image_processing_base import BatchFeature, ImageProcessingMixin
---> 21 from .image_transforms import center_crop, normalize, rescale
     22 from .image_utils import ChannelDimension

File /opt/conda/lib/python3.10/site-packages/transformers/image_transforms.py:49
     48 if is_tf_available():
---> 49     import tensorflow as tf
     51 if is_flax_available():

File /opt/conda/lib/python3.10/site-packages/tensorflow/__init__.py:45
     43 _tf2.enable()
---> 45 from tensorflow._api.v2 import __internal__
     46 from tensorflow._api.v2 import __operators__

File /opt/conda/lib/python3.10/site-packages/tensorflow/_api/v2/__internal__/__init__.py:11
     10 from tensorflow._api.v2.__internal__ import dispatch
---> 11 from tensorflow._api.v2.__internal__ import distribute
     12 from tensorflow._api.v2.__internal__ import eager_context

File /opt/conda/lib/python3.10/site-packages/tensorflow/_api/v2/__internal__/distribute/__init__.py:8
      6 import sys as _sys
----> 8 from tensorflow._api.v2.__internal__.distribute import combinations
      9 from tensorflow._api.v2.__internal__.distribute import interim

File /opt/conda/lib/python3.10/site-packages/tensorflow/_api/v2/__internal__/distribute/combinations/__init__.py:8
      6 import sys as _sys
----> 8 from tensorflow.python.distribute.combinations import env # line: 456
      9 from tensorflow.python.distribute.combinations import generate # line: 365

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/distribute/combinations.py:33
     32 from tensorflow.python.client import session
---> 33 from tensorflow.python.distribute import collective_all_reduce_strategy
     34 from tensorflow.python.distribute import distribute_lib

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/distribute/collective_all_reduce_strategy.py:25
     24 from tensorflow.python.distribute import collective_util
---> 25 from tensorflow.python.distribute import cross_device_ops as cross_device_ops_lib
     26 from tensorflow.python.distribute import cross_device_utils

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/distribute/cross_device_ops.py:28
     27 from tensorflow.python.distribute import collective_util
---> 28 from tensorflow.python.distribute import cross_device_utils
     29 from tensorflow.python.distribute import device_util

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/distribute/cross_device_utils.py:22
     21 from tensorflow.python.distribute import collective_util
---> 22 from tensorflow.python.distribute import values as value_lib
     23 from tensorflow.python.eager import backprop_util

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/distribute/values.py:23
     22 from tensorflow.python.distribute import device_util
---> 23 from tensorflow.python.distribute import distribute_lib
     24 from tensorflow.python.distribute import packed_distributed_variable as packed

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/distribute/distribute_lib.py:205
    204 from tensorflow.python.autograph.impl import api as autograph
--> 205 from tensorflow.python.data.ops import dataset_ops
    206 from tensorflow.python.distribute import collective_util

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/data/__init__.py:21
     20 # pylint: disable=unused-import
---> 21 from tensorflow.python.data import experimental
     22 from tensorflow.python.data.ops.dataset_ops import AUTOTUNE

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/data/experimental/__init__.py:97
     96 # pylint: disable=unused-import
---> 97 from tensorflow.python.data.experimental import service
     98 from tensorflow.python.data.experimental.ops.batching import dense_to_ragged_batch

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/data/experimental/service/__init__.py:419
     15 """API for using the tf.data service.
     16 
     17 This module contains:
   (...)
    416   job of ParameterServerStrategy).
    417 """
--> 419 from tensorflow.python.data.experimental.ops.data_service_ops import distribute
    420 from tensorflow.python.data.experimental.ops.data_service_ops import from_dataset_id

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/data/experimental/ops/data_service_ops.py:23
     22 from tensorflow.python import tf2
---> 23 from tensorflow.python.data.experimental.ops import compression_ops
     24 from tensorflow.python.data.experimental.service import _pywrap_server_lib

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/data/experimental/ops/compression_ops.py:16
     15 """Ops for compressing and uncompressing dataset elements."""
---> 16 from tensorflow.python.data.util import structure
     17 from tensorflow.python.ops import gen_experimental_dataset_ops as ged_ops

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/data/util/structure.py:32
     31 from tensorflow.python.ops import tensor_array_ops
---> 32 from tensorflow.python.ops.ragged import ragged_tensor
     33 from tensorflow.python.platform import tf_logging as logging

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/ops/ragged/__init__.py:28
     15 """Ragged Tensors.
     16 
     17 This package defines ops for manipulating ragged tensors (`tf.RaggedTensor`),
   (...)
     26 API docstring: tensorflow.ragged
     27 """
---> 28 from tensorflow.python.ops.ragged import ragged_tensor

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/ops/ragged/ragged_tensor.py:2321
   2316 # ===============================================================================
   2317 # RaggedTensorSpec
   2318 # ===============================================================================
   2319 @tf_export("RaggedTensorSpec")
   2320 @type_spec_registry.register("tf.RaggedTensorSpec")
-> 2321 class RaggedTensorSpec(
   2322     type_spec.BatchableTypeSpec, internal_types.RaggedTensorSpec):
   2323   """Type specification for a `tf.RaggedTensor`."""

File /opt/conda/lib/python3.10/site-packages/tensorflow/python/framework/type_spec_registry.py:59, in register.<locals>.decorator_fn(cls)
     58 if name in _NAME_TO_TYPE_SPEC:
---> 59   raise ValueError("Name %s has already been registered for class %s.%s." %
     60                    (name, _NAME_TO_TYPE_SPEC[name].__module__,
     61                     _NAME_TO_TYPE_SPEC[name].__name__))
     62 _TYPE_SPEC_TO_NAME[cls] = name

ValueError: Name tf.RaggedTensorSpec has already been registered for class tensorflow.python.ops.ragged.ragged_tensor.RaggedTensorSpec.

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

RuntimeError                              Traceback (most recent call last)
Cell In[9], line 16
      1 ''' Original:
      2 model_id = "google/flan-t5-base"
      3 
   (...)
     12 model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
     13 '''
     15 # Use a pipeline as a high-level helper
---> 16 from transformers import pipeline
     18 messages = [
     19     {"role": "user", "content": "Who are you?"},
     20 ]
     21 pipe = pipeline("text-generation", model="ewqr2130/TinyLamma-SFT")

File <frozen importlib._bootstrap>:1075, in _handle_fromlist(module, fromlist, import_, recursive)

File /opt/conda/lib/python3.10/site-packages/transformers/utils/import_utils.py:1593, in _LazyModule.__getattr__(self, name)
   1591     value = self._get_module(name)
   1592 elif name in self._class_to_module.keys():
-> 1593     module = self._get_module(self._class_to_module[name])
   1594     value = getattr(module, name)
   1595 else:

File /opt/conda/lib/python3.10/site-packages/transformers/utils/import_utils.py:1605, in _LazyModule._get_module(self, module_name)
   1603     return importlib.import_module("." + module_name, self.__name__)
   1604 except Exception as e:
-> 1605     raise RuntimeError(
   1606         f"Failed to import {self.__name__}.{module_name} because of the following error (look up to see its"
   1607         f" traceback):\n{e}"
   1608     ) from e

RuntimeError: Failed to import transformers.pipelines because of the following error (look up to see its traceback):
Name tf.RaggedTensorSpec has already been registered for class tensorflow.python.ops.ragged.ragged_tensor.RaggedTensorSpec.