Instructions to use mykor/conv-bert-base-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mykor/conv-bert-base-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mykor/conv-bert-base-ko")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mykor/conv-bert-base-ko") model = AutoModelForMaskedLM.from_pretrained("mykor/conv-bert-base-ko") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("mykor/conv-bert-base-ko")
model = AutoModelForMaskedLM.from_pretrained("mykor/conv-bert-base-ko")Quick Links
conv-bert-base-ko
A convbert model trained from the scratch. It has the same structure as YituTech/conv-bert-base.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mykor/conv-bert-base-ko")