# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("mykor/fnet-base-ko")
model = AutoModelForMaskedLM.from_pretrained("mykor/fnet-base-ko")Quick Links
fnet-base-ko
A fnet model trained from the scratch. It has the same structure as google/fnet-base.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mykor/fnet-base-ko")