Instructions to use dudcjs2779/sentiment-analysis-with-klue-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dudcjs2779/sentiment-analysis-with-klue-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dudcjs2779/sentiment-analysis-with-klue-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dudcjs2779/sentiment-analysis-with-klue-bert-base") model = AutoModelForSequenceClassification.from_pretrained("dudcjs2779/sentiment-analysis-with-klue-bert-base") - Notebooks
- Google Colab
- Kaggle
This model is a sentiment classification model based on the Korean BERT model.
original model: https://huggingface.co/klue/bert-base
training code: https://github.com/dudcjs2779/ko-bert-base-sentiment-analysis
- Downloads last month
- 20