Instructions to use Mostafa33/arabic-summarizer2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mostafa33/arabic-summarizer2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mostafa33/arabic-summarizer2") model = AutoModelForSeq2SeqLM.from_pretrained("Mostafa33/arabic-summarizer2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95650ecc4a9b0d49525d3a861d36e0a43a48fe94d527498e47e496bff1d615f5
- Size of remote file:
- 17.1 MB
- SHA256:
- dc756e137ecdd30f1c30726fd274ee763104ccf81f3a2631d7037b8395c7a4bd
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