WebAs discussed in this document normally the DeepSpeed configuration is passed as a path to a json file, but if you’re not using the command line interface to configure the training, and instead instantiate the Trainer via TrainingArguments then for the deepspeed argument you can pass a nested dict. WebApr 7, 2024 · A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch? Cancel Create transformers/src/transformers/trainer.py Go to file Go to fileT Go to lineL Copy path Copy …
python - ImportError: cannot import name …
WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. ... from transformers import TrainingArguments, DataCollatorForSeq2Seq: from transformers import Trainer, HfArgumentParser: ... from transformers. trainer import … try not to laugh challenge 99
nlp - cannot import
WebFeb 9, 2024 · fix import container_abcs issue #1049 mcarilli closed this as completed in #1049 on Feb 9, 2024 Borda mentioned this issue on Feb 16, 2024 fix using torch._six Lightning-Sandbox/fairscale#1 petteriTeikari mentioned this issue on Nov 18, 2024 cannot import name 'container_abcs' from 'torch._six' petteriTeikari/SSL_transformer#1 WebThe Trainer contains the basic training loop which supports the above features. To inject custom behavior you can subclass them and override the following methods: get_train_dataloader — Creates the training DataLoader. get_eval_dataloader — Creates the evaluation DataLoader. get_test_dataloader — Creates the test DataLoader. Webargs (TrainingArguments, optional) – The arguments to tweak for training.Will default to a basic instance of TrainingArguments with the output_dir set to a directory named tmp_trainer in the current directory if not provided. data_collator (DataCollator, optional) – The function to use to form a batch from a list of elements of train_dataset or eval_dataset. try not to laugh cg5