Transformers
PyTorch
Arabic
t5
text2text-generation
Arabic T5
T5
MSA
Arabic Text Summarization
Arabic News Title Generation
Arabic Paraphrasing
text-generation-inference
Instructions to use malmarjeh/t5-arabic-text-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malmarjeh/t5-arabic-text-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("malmarjeh/t5-arabic-text-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("malmarjeh/t5-arabic-text-summarization") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
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