# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("tkcho/commerce-bert-kr")
model = AutoModelForMaskedLM.from_pretrained("tkcho/commerce-bert-kr")Quick Links
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Check out the documentation for more information.
BERT pre-trained model using Korean e-commerce data (product names, option names, brands, sellers, categories, ... from sites 11st, naverstore, ...)
tokenzier: tkcho/commerce-tokenizer-kr
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tkcho/commerce-bert-kr")