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:
- ae90020e146b5e88f634b359abd9805e41aed8104a4690939602de5c38b5d6fe
- Size of remote file:
- 308 MB
- SHA256:
- f61e25eb29b9917691bb35646a92c3f398d03c9bf45976973ce7c3d5a5fa8fe0
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