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:
- c27b9aaa25e1461433a34d6a53961d0942381302fe5a8565cc4370692f0a1e34
- Size of remote file:
- 2.99 kB
- SHA256:
- 637dcdf801563734010797018504b64b6157cf81c5e95d5618d48d7d41c5fba9
路
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