Instructions to use eunyounglee/mBART_translator_json_hyperparameter_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/mBART_translator_json_hyperparameter_1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/mBART_translator_json_hyperparameter_1") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/mBART_translator_json_hyperparameter_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eunyounglee/mBART_translator_json_hyperparameter_1: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/eunyounglee/mBART_translator_json_hyperparameter_1/resolve/main/training_args.bin
- Command line
-
hf download hf://eunyounglee/mBART_translator_json_hyperparameter_1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eunyounglee/mBART_translator_json_hyperparameter_1/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 130022062c16267d986965c78ae7032dc0846349536e2eae083787d65032ac60
- Size of remote file:
- 3.57 kB
- SHA256:
- 147ba6730892599a367f85b03e4a07ad31002feeee47d7fd615f65df815eca8c
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