Instructions to use Han00l/koelectra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Han00l/koelectra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Han00l/koelectra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Han00l/koelectra") model = AutoModelForSequenceClassification.from_pretrained("Han00l/koelectra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89a671b5db96092cfc37d71b49444f541de02d6b53e34b22f78adb5942e58227
- Size of remote file:
- 5.2 kB
- SHA256:
- c97bd557b1a6de1d1d6f1e47ac2d6db4276870bc8d78a79080f58424c325bee1
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