4 frames
/usr/local/lib/python3.10/dist-packages/transformers/training_args.py in _setup_devices(self)
1670 if not is_sagemaker_mp_enabled():
1671 if not is_accelerate_available(min_version="0.20.1"):
-> 1672 raise ImportError(
1673 "Using the Trainer with PyTorch requires accelerate>=0.20.1: Please run pip install transformers[torch] or pip install accelerate -U"
1674 )
ImportError: Using the Trainer with PyTorch requires accelerate>=0.20.1: Please run pip install transformers[torch] or pip install accelerate -U
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
You have encountered the same issue even after updating accelerate to version 0.23.0. How can you resolve this?
ImportError Traceback (most recent call last) in <cell line: 1>()
----> 1 training_args = TrainingArguments(
2 output_dir='finetuned_model', # saved model path
3 logging_steps = 500,
4 # max_steps=10000,
5 num_train_epochs = 2,
4 frames /usr/local/lib/python3.10/dist-packages/transformers/training_args.py in _setup_devices(self) 1670 if not is_sagemaker_mp_enabled(): 1671 if not is_accelerate_available(min_version="0.20.1"): -> 1672 raise ImportError( 1673 "Using the
Trainer
withPyTorch
requiresaccelerate>=0.20.1
: Please runpip install transformers[torch]
orpip install accelerate -U
" 1674 )ImportError: Using the
Trainer
withPyTorch
requiresaccelerate>=0.20.1
: Please runpip install transformers[torch]
orpip install accelerate -U
NOTE: If your import is failing due to a missing package, you can manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the "Open Examples" button below.
You have encountered the same issue even after updating accelerate to version 0.23.0. How can you resolve this?