Instructions to use eunyounglee/mBART_data_221115 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunyounglee/mBART_data_221115 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("eunyounglee/mBART_data_221115") model = AutoModelForSeq2SeqLM.from_pretrained("eunyounglee/mBART_data_221115", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eunyounglee/mBART_data_221115: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/eunyounglee/mBART_data_221115/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eunyounglee/mBART_data_221115/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eunyounglee/mBART_data_221115/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- eedb67ca348843b8a9a3f443682b7abf4ec0f7fe4eb7a46de71c8c212c0fe19c
- Size of remote file:
- 2.44 GB
- SHA256:
- 41a0d27ca41de28c04930419a865b4d3018b44893cf7eed0d76d6e94779b8fd6
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