Instructions to use monologg/distilkobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monologg/distilkobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="monologg/distilkobert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("monologg/distilkobert") model = AutoModelForMaskedLM.from_pretrained("monologg/distilkobert") - Notebooks
- Google Colab
- Kaggle
DistilKoBERT
How to use
If you want to import DistilKoBERT tokenizer with
AutoTokenizer, you should givetrust_remote_code=True.
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("monologg/distilkobert")
tokenizer = AutoTokenizer.from_pretrained("monologg/distilkobert", trust_remote_code=True)
Reference
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