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:
- 1c190d61d53e8f736eff88e9ed231e16c9176f85306db2800124e771c100ed58
- Size of remote file:
- 252 MB
- SHA256:
- bd5167d80de1c683478c39a84fd1f11442cb00a03466b936247259c78be298af
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