Instructions to use kiyoung2/koelectra-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiyoung2/koelectra-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kiyoung2/koelectra-small")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("kiyoung2/koelectra-small") model = AutoModelForQuestionAnswering.from_pretrained("kiyoung2/koelectra-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e16cabba93001f1fad459218c4642bc9bc16d97301115c8f4eeaa361bae92f9b
- Size of remote file:
- 56.3 MB
- SHA256:
- e3626ee187b31df7a439cb333c6438dfa7f1283aea06d3b44d97dd5f7509abcb
路
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