Instructions to use matthewburke/korean_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matthewburke/korean_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="matthewburke/korean_sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("matthewburke/korean_sentiment") model = AutoModelForSequenceClassification.from_pretrained("matthewburke/korean_sentiment") - Notebooks
- Google Colab
- Kaggle
License of the model
#4
by daekeunlee - opened
Hello. I'm so impressed by the power of this model that can carry out the classification task more than I expected despite its relatively small model size.
But I'm not sure under which license it is being distributed. Could you clarify the license so that I can decide whether I can extend this model to my own classification task?
Thank you for your effort and contribution to the community.