Text Classification
Transformers
Safetensors
Korean
electra
absa
sentiment-analysis
aspect-based-sentiment-analysis
Generated from Trainer
Instructions to use cocoaice/kcELECTRA-absa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cocoaice/kcELECTRA-absa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cocoaice/kcELECTRA-absa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cocoaice/kcELECTRA-absa") model = AutoModelForSequenceClassification.from_pretrained("cocoaice/kcELECTRA-absa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34e05d744bb58f6729f7b14da8f84bd2338f21c670e0616e723fceb35475b227
- Size of remote file:
- 5.84 kB
- SHA256:
- fceb3ba13cff410830b46bacde942a5ff12bb7adef6dad0f4eb893702d661356
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