Instructions to use CUTD/qnAr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CUTD/qnAr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CUTD/qnAr")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("CUTD/qnAr") model = AutoModelForQuestionAnswering.from_pretrained("CUTD/qnAr") - 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 sha256:34f6987d85281bf6e6f90c76f6126c2b5927b321144631f6eeb004bfc781e58d
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size 538445296
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