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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 128 Bytes
40529c9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7b9d04a5906588f294c7b694d20bf3b1345131e10d8823dc45b2698b907c8560
size 623
|