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

@@ -345,9 +345,9 @@ def main():
datasets = datasets.map(preprocess_function, batched=True, load_from_cache_file=not data_args.overwrite_cache)
if data_args.pad_to_max_length:
data_collator = DefaultDataCollator(return_tensors="tf")
data_collator = DefaultDataCollator(return_tensors="np")
else:
data_collator = DataCollatorWithPadding(tokenizer, return_tensors="tf")
data_collator = DataCollatorWithPadding(tokenizer, return_tensors="np")
# endregion
# region Metric function