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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6972e9b54f563912c299a725df74c60ef57ef9ae2d6e4c9d53455ac28f801b2
- Size of remote file:
- 511 MB
- SHA256:
- 2004aa5b8935fde894c145a9052026c2030e16caa5678f96a03656a72455c627
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