Text Classification
Transformers
Safetensors
Korean
electra
KoELECTRA
Korean-NLP
topic-classification
news-classification
Generated from Trainer
Instructions to use dongyeonj/ynat-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongyeonj/ynat-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dongyeonj/ynat-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dongyeonj/ynat-model") model = AutoModelForSequenceClassification.from_pretrained("dongyeonj/ynat-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eaa3928cdf72583c7cee0c54970a472330f05189dc35c19cc53470f092ba36ba
- Size of remote file:
- 5.3 kB
- SHA256:
- 0ef55e517acbe2552e2beb7b41b520ca16fe91b72aedb16a6777eb004e485b9d
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