Text Classification
Transformers
Safetensors
Korean
electra
multi-Label-Classification
multi-label-dataset
sentiment-analysis
sentiment
multi-label-emotion-classification
emotion-classification
custom
chat-app
messenger
Instructions to use tobykim/koelectra-44emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tobykim/koelectra-44emotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tobykim/koelectra-44emotions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tobykim/koelectra-44emotions") model = AutoModelForSequenceClassification.from_pretrained("tobykim/koelectra-44emotions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!