Instructions to use Sangmun/mrc-klue-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sangmun/mrc-klue-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Sangmun/mrc-klue-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Sangmun/mrc-klue-roberta-large") model = AutoModelForQuestionAnswering.from_pretrained("Sangmun/mrc-klue-roberta-large") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:854edf74ed65a42e3c3add4859d2d46ef0d51baa174012d2f7fa877daf9e37bb
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size 1342487512
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