Instructions to use eunyounglee/mBART_translator_json_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/mBART_translator_json_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/mBART_translator_json_2") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/mBART_translator_json_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eunyounglee/mBART_translator_json_2: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/eunyounglee/mBART_translator_json_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eunyounglee/mBART_translator_json_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eunyounglee/mBART_translator_json_2/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- b727de55e67bb08d72b87b4dcdc3c3dc8a55415c96a62082e771c31c5637f9c5
- Size of remote file:
- 2.44 GB
- SHA256:
- 7bf086ce87afbacadef5299060599e0973e0798a32490aa35b2a85f782dd61dc
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