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:
- 7b0b1da8dc8a0bbf2b1f607d842b6077398a337b4db06139bcbe5414a2987721
- Size of remote file:
- 2.35 MB
- SHA256:
- 180428eb8e88be6c7d259fb04c9eb3a1c552d799a76741bcd6ee34fa0bf64386
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