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Update all references to canonical models (#29001)

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* Script & Manual edition

* Update
This commit is contained in:
Lysandre Debut
2024-02-16 08:16:58 +01:00
committed by GitHub
parent 1e402b957d
commit f497f564bb
561 changed files with 2682 additions and 2687 deletions
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8
examples/pytorch/token-classification/README.md
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@@ -29,7 +29,7 @@ The following example fine-tunes BERT on CoNLL-2003:
```bash
python run_ner.py \
--model_name_or_path bert-base-uncased \
--model_name_or_path google-bert/bert-base-uncased \
--dataset_name conll2003 \
--output_dir /tmp/test-ner \
--do_train \
@@ -42,7 +42,7 @@ To run on your own training and validation files, use the following command:
```bash
python run_ner.py \
--model_name_or_path bert-base-uncased \
--model_name_or_path google-bert/bert-base-uncased \
--train_file path_to_train_file \
--validation_file path_to_validation_file \
--output_dir /tmp/test-ner \
@@ -84,7 +84,7 @@ then
export TASK_NAME=ner
python run_ner_no_trainer.py \
--model_name_or_path bert-base-cased \
--model_name_or_path google-bert/bert-base-cased \
--dataset_name conll2003 \
--task_name $TASK_NAME \
--max_length 128 \
@@ -112,7 +112,7 @@ that will check everything is ready for training. Finally, you can launch traini
export TASK_NAME=ner
accelerate launch run_ner_no_trainer.py \
--model_name_or_path bert-base-cased \
--model_name_or_path google-bert/bert-base-cased \
--dataset_name conll2003 \
--task_name $TASK_NAME \
--max_length 128 \