Text Classification
Transformers
Safetensors
Korean
electra
KoELECTRA
Korean-NLP
topic-classification
news-classification
Generated from Trainer
Instructions to use howon20/data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howon20/data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="howon20/data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("howon20/data") model = AutoModelForSequenceClassification.from_pretrained("howon20/data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f26392538c9bcdb7a78b0e7b6dc8a3a3d1c4d33a067be5e776a49e203f9a8ac1
- Size of remote file:
- 452 MB
- SHA256:
- cf97604b63378e88a6487afed23e2981615cea7df26f61117010ea87aedffc61
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