Instructions to use newsha/PQuAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use newsha/PQuAD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="newsha/PQuAD")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("newsha/PQuAD") model = AutoModelForQuestionAnswering.from_pretrained("newsha/PQuAD") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin with git-lfs
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:46c568a40de24a30413883784a8a9e05bd1d2a2305f081fa27c4d17e77e0f358
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size 2927
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