Instructions to use Kyoungmin/beauty-base-KLCP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kyoungmin/beauty-base-KLCP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Kyoungmin/beauty-base-KLCP")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Kyoungmin/beauty-base-KLCP") model = AutoModel.from_pretrained("Kyoungmin/beauty-base-KLCP") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This is KOREAN Bert Masked LM pretrained model adapted in BEAUTY domain. (BertForMaskedLM)
About 60,000 reviews were used.
It was fine-tuned based on beomi/kcbert-base model weights.
Enjoy!
- Downloads last month
- 10