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then run the model with python -m flux --name “flux-schnell” --loop.
The first time I had a bin file of 45gb downloaded when everything was loaded and the next times I got a warning message
You are using the default legacy behaviour of the <class 'transformers.models.t5.tokenization_t5.T5Tokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 D:\Program Files\python\Lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884 warnings.warn( then the script closed.
I understand this is an error in the source files and did not change something by hand.
My pc configuration:
AMD RYZEN 5 5600
16GB DDR4
RX580
WIN10
Run everything in PowerShell
Ty for ur attention
The text was updated successfully, but these errors were encountered:
$ python demo_gr.py --name flux-schnell --device cuda
You are using the default legacy behaviour of the <class 'transformers.models.t5
.tokenization_t5.T5Tokenizer'>. This is expected, and simply means that the leg acy (previous) behavior will be used so nothing changes for you. If you want to
use the new behaviour, set legacy=False. This should only be set if you under
stand what it means, and thoroughly read the reason why this was added as explai
ned in huggingface/transformers#24565
H:\flux.venv\Lib\site-packages\transformers\tokenization_utils_base.py:1601: Fu
tureWarning: clean_up_tokenization_spaces was not set. It will be set to True by default. This behavior will be depracted in transformers v4.45, and will be
then set to False by default. For more details check this issue: https://gith
ub.com/huggingface/transformers/issues/31884
warnings.warn(
Segmentation fault
(.venv)
I did everything according to the instructions
then run the model with
python -m flux --name “flux-schnell” --loop
.The first time I had a bin file of 45gb downloaded when everything was loaded and the next times I got a warning message
You are using the default legacy behaviour of the <class 'transformers.models.t5.tokenization_t5.T5Tokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 D:\Program Files\python\Lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884 warnings.warn(
then the script closed.I understand this is an error in the source files and did not change something by hand.
My pc configuration:
AMD RYZEN 5 5600
16GB DDR4
RX580
WIN10
Run everything in PowerShell
Ty for ur attention
The text was updated successfully, but these errors were encountered: