Instructions to use IAMNawaf/QA-History-Saudi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IAMNawaf/QA-History-Saudi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="IAMNawaf/QA-History-Saudi")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("IAMNawaf/QA-History-Saudi") model = AutoModelForQuestionAnswering.from_pretrained("IAMNawaf/QA-History-Saudi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from IAMNawaf/QA-History-Saudi: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/IAMNawaf/QA-History-Saudi/resolve/main/training_args.bin
- Command line
-
hf download hf://IAMNawaf/QA-History-Saudi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IAMNawaf/QA-History-Saudi/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 932da7446bc30a9baf4647b8b4a762d4a23ec81d868b291963275e683169699a
- Size of remote file:
- 4.03 kB
- SHA256:
- 90668fdaf2d9b00c599b147c549e4b55c9e8a8590f609b9a2df5f15b40c141ed
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