Instructions to use deb-cmd/KG_mBART_Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deb-cmd/KG_mBART_Finetuned with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("deb-cmd/KG_mBART_Finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("deb-cmd/KG_mBART_Finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2aa259a9e673f768f6cf59a5c5f04078f83813f83537b3d5a3ed0c68bc99368
- Size of remote file:
- 5.37 kB
- SHA256:
- 3402ba729c49c4d64732894a81558ee0fce554920967b036d7ba979f89ed047f
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