Instructions to use Erfan/mT5-base_Farsi_Title_Generator_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erfan/mT5-base_Farsi_Title_Generator_plus with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Erfan/mT5-base_Farsi_Title_Generator_plus") model = AutoModelForSeq2SeqLM.from_pretrained("Erfan/mT5-base_Farsi_Title_Generator_plus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12105be2149f3f6e3c04053523bf332b2f5ad4fb1fbbb06c7d404c7027ae7e11
- Size of remote file:
- 2.33 GB
- SHA256:
- 8539cba1fdd5e53c1ef2d8c10f31f91652dec322add2cb9da09c2ccd62bf75ca
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