Instructions to use abdalrahmanshahrour/questionanswering-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdalrahmanshahrour/questionanswering-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="abdalrahmanshahrour/questionanswering-v5")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("abdalrahmanshahrour/questionanswering-v5") model = AutoModelForQuestionAnswering.from_pretrained("abdalrahmanshahrour/questionanswering-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d43775cc9b62f34923ece8706fd73d0cc957a6185a0ea7fc65c5f4533546e41
- Size of remote file:
- 261 MB
- SHA256:
- e51fcb2b08d95b5ad0d7f456544c32794256f4829458c069598e8f3f2b0a0d40
路
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