Instructions to use yesj1234/mbart-mmt_mid2_ko-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yesj1234/mbart-mmt_mid2_ko-ja with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yesj1234/mbart-mmt_mid2_ko-ja") model = AutoModelForSeq2SeqLM.from_pretrained("yesj1234/mbart-mmt_mid2_ko-ja", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce2f7b1f423bc95882818d5040f7c8fd51a4a7bfd2c6302406aed462655ece0d
- Size of remote file:
- 2.44 GB
- SHA256:
- 0166078d1b193e9471cc8de7bd47486199749715a5734a180a476005681ef31f
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