Instructions to use JuneKo/kcELECTRA_MLM_batch4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuneKo/kcELECTRA_MLM_batch4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JuneKo/kcELECTRA_MLM_batch4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JuneKo/kcELECTRA_MLM_batch4") model = AutoModelForMaskedLM.from_pretrained("JuneKo/kcELECTRA_MLM_batch4", device_map="auto") - Notebooks
- Google Colab
- Kaggle