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:
- d856d46c333700d12c7e0d40723816aaa187d5f8c4793ac612422646a6ec0178
- Size of remote file:
- 5.43 kB
- SHA256:
- d1d40e27ff2a15194f2289c7de723524450b7c9e8a95a886547072572adecfd6
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