Instructions to use Kyoungmin/beauty-base-KLCP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kyoungmin/beauty-base-KLCP2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Kyoungmin/beauty-base-KLCP2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Kyoungmin/beauty-base-KLCP2") model = AutoModelForMaskedLM.from_pretrained("Kyoungmin/beauty-base-KLCP2") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Second BertForMaskedLM pretrained model in KOREAN Beauty domain.
About 120,000 reviews were used.
It was trained based on beomi/kcbert-base .
Check out Kyoungmin/beauty-base-KLCP for smaller model !!
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