Text Classification
Transformers
Safetensors
Korean
electra
absa
sentiment-analysis
aspect-based-sentiment-analysis
Generated from Trainer
Instructions to use jxchlee/kcELECTRA-absa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jxchlee/kcELECTRA-absa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jxchlee/kcELECTRA-absa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jxchlee/kcELECTRA-absa") model = AutoModelForSequenceClassification.from_pretrained("jxchlee/kcELECTRA-absa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b1090568e3cf94392a03bfaa360dce1742b8ceac19406c9d91174ccda3337f4
- Size of remote file:
- 5.84 kB
- SHA256:
- 61ee80d5ac16c2d89ccc4567b5dbee8b129b227dfa5b0062963fab041b729b95
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