Instructions to use eyalmazuz/HebArbT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eyalmazuz/HebArbT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eyalmazuz/HebArbT5") model = AutoModelForSeq2SeqLM.from_pretrained("eyalmazuz/HebArbT5") - Notebooks
- Google Colab
- Kaggle
Translates from Hebrew to Arabic T5-base model that was trained on TED talks (around 347k sentences) Using a 37k unigram wordpiece shared vocabulary
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