Use return_tensors="np" instead of "tf" (#21266)
Return NP instead of TF tensors for our data loading pipeline
This commit is contained in:
@@ -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
|
||||
|
||||
|
||||
Reference in New Issue
Block a user