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:
- b571306053e4b64204185de73505c8642375b715704e4d36c06d5a0b14637b0b
- Size of remote file:
- 4.66 kB
- SHA256:
- f13c026b00370015a97978f7ef9ecb7e58c8b4cb621921c5d00fcd65afc05bf9
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