Transformers
PyTorch
Arabic
encoder-decoder
text2text-generation
AraBERT
BERT
BERT2BERT
MSA
Arabic Text Summarization
Arabic News Title Generation
Arabic Paraphrasing
Instructions to use malmarjeh/bert2bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malmarjeh/bert2bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("malmarjeh/bert2bert") model = AutoModelForSeq2SeqLM.from_pretrained("malmarjeh/bert2bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9f5ed1cd10ce0e5f515df9e9bd04e16207b336b459c1fc73eb7ffd3a4408af7
- Size of remote file:
- 2.42 kB
- SHA256:
- 4145272078873899f09993f5a6a2afb00703ef597e2f79410f79f3571ba2e3d1
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