Instructions to use eunyounglee/mBART_translator_json_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/mBART_translator_json_3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/mBART_translator_json_3") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/mBART_translator_json_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eunyounglee/mBART_translator_json_3: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/eunyounglee/mBART_translator_json_3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eunyounglee/mBART_translator_json_3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eunyounglee/mBART_translator_json_3/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- c00495414c105935eeabbaf61ede28933784271569a52d42ff7d3790ebcab14d
- Size of remote file:
- 2.44 GB
- SHA256:
- 7ce66003448829d71f080e206bb2164212313ec7c4a8022bde20d704f02ac463
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