Instructions to use eunyounglee/mBART_translator_json_sentence_split with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/mBART_translator_json_sentence_split with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/mBART_translator_json_sentence_split") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/mBART_translator_json_sentence_split", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eunyounglee/mBART_translator_json_sentence_split: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/eunyounglee/mBART_translator_json_sentence_split/resolve/main/training_args.bin
- Command line
-
hf download hf://eunyounglee/mBART_translator_json_sentence_split/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eunyounglee/mBART_translator_json_sentence_split/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 4237a4f7fd7169fa67f2a81e8e1e80d9c8d9cede52f48601e4916e6d3da6bf5b
- Size of remote file:
- 3.57 kB
- SHA256:
- 7aa507198b5060f9ebe9c1cd500dcce7300c465020c2d1f6d76eecd2254b75c9
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