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 WebJun 19, 2024 · I am also using colab and faced the same problem and arrived at this github. I installed an older version of torch, but when I import it, it reverts back to the original, latest version.
python - ImportError: cannot import name …
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. WebApr 2, 2024 · from transformers import TrainingArguments, Trainer training_args = TrainingArguments ( output_dir="./fine_tuned_electra", evaluation_strategy="epoch", learning_rate=5e-4, per_device_train_batch_size=12, per_device_eval_batch_size=12, num_train_epochs=2, weight_decay=0.01, gradient_accumulation_steps=2, … dungeons and dragons iconic characters
ImportError: cannot import name
WebJul 28, 2024 · from transformers import AutoModelForCausalLM, AutoTokenizer import torch tokenizer = AutoTokenizer.from_pretrained ("microsoft/DialoGPT-small") model = AutoModelForCausalLM.from_pretrained ("microsoft/DialoGPT-small") Share Improve this answer Follow answered Jul 30, 2024 at 16:53 Hatter The Mad 121 1 1 9 Add a … WebA utility method that massages the config file and can optionally verify that the values match. 1. Replace "auto" values with `TrainingArguments` value. 2. If it wasn't "auto" and … WebApr 1, 2024 · The code is from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline t = AutoTokenizer.from_pretrained ('/some/directory') m = AutoModelForSequenceClassification.from_pretrained ('/some/directory') c2 = pipeline (task = 'sentiment-analysis', model=m, tokenizer=t) The … dungeons and dragons icons oversized