Instructions to use sehandev/koelectra-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sehandev/koelectra-qa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="sehandev/koelectra-qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sehandev/koelectra-qa") model = AutoModelForQuestionAnswering.from_pretrained("sehandev/koelectra-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sehandev/koelectra-qa: direct link, hf CLI and curl.
- Browser
- Download file 534 kB
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https://huggingface.co/sehandev/koelectra-qa/resolve/main/tokenizer.json
- Command line
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hf download hf://sehandev/koelectra-qa/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/sehandev/koelectra-qa/resolve/main/tokenizer.json
534 kB
File too large to display, you can check the raw version instead.