Instructions to use dmis-lab/roberta-large-nq-mrc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/roberta-large-nq-mrc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="dmis-lab/roberta-large-nq-mrc")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("dmis-lab/roberta-large-nq-mrc") model = AutoModelForQuestionAnswering.from_pretrained("dmis-lab/roberta-large-nq-mrc", device_map="auto") - 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 sha256:1ca7d059580774833a5aa84c1082dc6ea6a103f7ea26c53919a7d28d6c034a7a
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size 1421495384
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