Transformers
PyTorch
Arabic
encoder-decoder
text2text-generation
Transformer
MSA
Arabic Text Summarization
Arabic News Title Generation
Arabic Paraphrasing
Instructions to use malmarjeh/transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malmarjeh/transformer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("malmarjeh/transformer") model = AutoModelForSeq2SeqLM.from_pretrained("malmarjeh/transformer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbcb6b7796ebb249d77e12309f17f90efb0b79bd28704bc8f12d999e8a536375
- Size of remote file:
- 443 MB
- SHA256:
- c6ad4b0020cd0110e673cc69d62cd86fa29e9f3a682acea10e59579d36c7ac93
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