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") - Inference
- Notebooks
- Google Colab
- Kaggle
License of the model
#4 opened over 1 year ago
by
daekeunlee
Update README.md
#3 opened over 2 years ago
by
dain2
Update README.md
#2 opened over 2 years ago
by
dain2
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot