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
- Xet hash:
- c5f16c8919bf446983c022bbee6f04765d716705bf2ae243dffdb01e25bae50d
- Size of remote file:
- 3.44 kB
- SHA256:
- ce0f0e493fa5023727e587f7f9be8dfaed676c84230fca15a4aee4e2512a8153
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