Use return_tensors="np" instead of "tf" (#21266)

Return NP instead of TF tensors for our data loading pipeline
This commit is contained in:
Matt
2023-01-24 13:37:49 +00:00
committed by GitHub
parent f0fc791298
commit 071529bd54
6 changed files with 8 additions and 8 deletions

View File

@@ -396,7 +396,7 @@ def main():
# We need the DataCollatorForTokenClassification here, as we need to correctly pad labels as
# well as inputs.
collate_fn = DataCollatorForTokenClassification(tokenizer=tokenizer, return_tensors="tf")
collate_fn = DataCollatorForTokenClassification(tokenizer=tokenizer, return_tensors="np")
num_replicas = training_args.strategy.num_replicas_in_sync
total_train_batch_size = training_args.per_device_train_batch_size * num_replicas