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