Instructions to use chunwoolee0/korquad_roberta_base_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chunwoolee0/korquad_roberta_base_model 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="chunwoolee0/korquad_roberta_base_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("chunwoolee0/korquad_roberta_base_model") model = AutoModelForQuestionAnswering.from_pretrained("chunwoolee0/korquad_roberta_base_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from chunwoolee0/korquad_roberta_base_model: direct link, hf CLI and curl.
- Browser
- Download file 752 kB
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https://huggingface.co/chunwoolee0/korquad_roberta_base_model/resolve/main/tokenizer.json
- Command line
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hf download hf://chunwoolee0/korquad_roberta_base_model/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/chunwoolee0/korquad_roberta_base_model/resolve/main/tokenizer.json
752 kB
File too large to display, you can check the raw version instead.