Instructions to use salti/xlm-roberta-large-arabic_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salti/xlm-roberta-large-arabic_qa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="salti/xlm-roberta-large-arabic_qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("salti/xlm-roberta-large-arabic_qa") model = AutoModelForQuestionAnswering.from_pretrained("salti/xlm-roberta-large-arabic_qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from salti/xlm-roberta-large-arabic_qa: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/salti/xlm-roberta-large-arabic_qa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://salti/xlm-roberta-large-arabic_qa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/salti/xlm-roberta-large-arabic_qa/resolve/main/pytorch_model.bin
2.24 GB
- Xet hash:
- eb855b42fc24adc52d578661a46d9df807eb32c1b3e3c0cc23ff9a81ee13061b
- Size of remote file:
- 2.24 GB
- SHA256:
- 5e068f51025acb63ad659629441986f0ce214cfb5dcec3d6c6398cac2dee9cca
路
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