Instructions to use Mongjin/ft_memory_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mongjin/ft_memory_model with Transformers:
# Load model directly from transformers import AutoTokenizer, BartForDialogueGeneration tokenizer = AutoTokenizer.from_pretrained("Mongjin/ft_memory_model") model = BartForDialogueGeneration.from_pretrained("Mongjin/ft_memory_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 738fb3992a65dc34a90200f28d8236aeeee318c50000913021bd8172fc91ffc6
- Size of remote file:
- 496 MB
- SHA256:
- 339fd69214325799a030d941184d800e794df5c4a9e19ba69dc3f408d55220ca
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