Instructions to use mohamedmou/arabic-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohamedmou/arabic-summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mohamedmou/arabic-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("mohamedmou/arabic-summarizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ce242eff7b24585e3fef907f108137d5bdd4fa670388e70577256c7484376d7
- Size of remote file:
- 15.3 MB
- SHA256:
- fc330251e1510e290186fc89b4e64b8defac9bbfe39e94098e59d6db45457447
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