Instructions to use Zaid/mbert_xquad_ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zaid/mbert_xquad_ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Zaid/mbert_xquad_ar")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Zaid/mbert_xquad_ar") model = AutoModelForQuestionAnswering.from_pretrained("Zaid/mbert_xquad_ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80571f8d365391d00a3fe38804056bc81f79f81c44a567b7b78ab7b867923d3c
- Size of remote file:
- 709 MB
- SHA256:
- e5559319f4515a75d9db0339680f205562c6fea4ac134aa4ba065a3807da67f0
路
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