Text Classification
Transformers
Safetensors
Korean
electra
KoELECTRA
Korean-NLP
topic-classification
news-classification
Generated from Trainer
Instructions to use eyeons/ynat-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eyeons/ynat-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eyeons/ynat-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eyeons/ynat-model") model = AutoModelForSequenceClassification.from_pretrained("eyeons/ynat-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
972504e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:808a45270821cd4012cd5a0181df897114a9feca5b7003635d5344388dbb888b
size 5304
|