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:
- 3321a4daf9b7608fd8eaa5d31f67cb1ff2a435b46b64d009fb2cda65f12f5b70
- Size of remote file:
- 2.42 kB
- SHA256:
- 549768a1d0f2034fe1fd23498022e7fc827aeda2486b4b5c385c8b0a583d282b
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