Instructions to use IbrahimSalah/Arabic_Syllables_to_text_Converter_Using_MT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IbrahimSalah/Arabic_Syllables_to_text_Converter_Using_MT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IbrahimSalah/Arabic_Syllables_to_text_Converter_Using_MT5") model = AutoModelForSeq2SeqLM.from_pretrained("IbrahimSalah/Arabic_Syllables_to_text_Converter_Using_MT5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0607ece57855892af19738fda84d7f7262603a3031899c433344648e45e9ccb4
- Size of remote file:
- 2.33 GB
- SHA256:
- 4c4fd2bf8b17e6c73b7e4f0a0aced8fecfdd01311e3554a42fa6a44a9ce03df1
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