Instructions to use SigmarAI/MBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SigmarAI/MBART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SigmarAI/MBART") model = AutoModelForSeq2SeqLM.from_pretrained("SigmarAI/MBART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SigmarAI/MBART: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/SigmarAI/MBART/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://SigmarAI/MBART@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SigmarAI/MBART/resolve/refs%2Fpr%2F1/training_args.bin
3.52 kB
- Xet hash:
- 656470d5c85d46b7e662d196cc93b8a0e213cf3e69690fc37025c8a050b3d911
- Size of remote file:
- 3.52 kB
- SHA256:
- 74a9eca79703772e89948da3a90770005e172c2c2249a3a55eec73aa8ad451bf
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