Instructions to use Ahmed007/T5-Summarize_the_arabic_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmed007/T5-Summarize_the_arabic_text with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ahmed007/T5-Summarize_the_arabic_text") model = AutoModelForSeq2SeqLM.from_pretrained("Ahmed007/T5-Summarize_the_arabic_text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e37b9b1c99004a3e118a6e812acf5eb9ecc854abba90981a1d6682d32ad1a80c
- Size of remote file:
- 4.16 kB
- SHA256:
- a95c58e51e367960b6551d4b485780a182077a38178f2608bfd83b130c1a8a36
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