Text Classification
Transformers
Safetensors
Korean
electra
text-regression
emotion-regression
sentiment-regression
korean
koelectra
emotion-analysis
nlp
Instructions to use LimYeri/HowRU-KoELECTRA-Emotion-Regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LimYeri/HowRU-KoELECTRA-Emotion-Regression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LimYeri/HowRU-KoELECTRA-Emotion-Regression")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LimYeri/HowRU-KoELECTRA-Emotion-Regression") model = AutoModelForSequenceClassification.from_pretrained("LimYeri/HowRU-KoELECTRA-Emotion-Regression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from LimYeri/HowRU-KoELECTRA-Emotion-Regression: direct link, hf CLI and curl.
- Browser
- Download file 815 kB
-
https://huggingface.co/LimYeri/HowRU-KoELECTRA-Emotion-Regression/resolve/main/tokenizer.json
- Command line
-
hf download hf://LimYeri/HowRU-KoELECTRA-Emotion-Regression/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/LimYeri/HowRU-KoELECTRA-Emotion-Regression/resolve/main/tokenizer.json
815 kB
File too large to display, you can check the raw version instead.