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:
- 5509c330dcfa998142e8f80115d4c24131476cb37adcb9258b510a8daf85bba7
- Size of remote file:
- 17.1 MB
- SHA256:
- 8d71bd677533eb6bd72ffea3ae614dba146d8500787167dbbcda802f569ff899
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