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:
- fea992d341ef4de3180796741dd7fb6cc1e3463dbc6d89c56b1ffa31f2bc93b8
- Size of remote file:
- 623 Bytes
- SHA256:
- 7b9d04a5906588f294c7b694d20bf3b1345131e10d8823dc45b2698b907c8560
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