Instructions to use CLARA-MeD/mbart-large-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLARA-MeD/mbart-large-50 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CLARA-MeD/mbart-large-50") model = AutoModelForSeq2SeqLM.from_pretrained("CLARA-MeD/mbart-large-50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CLARA-MeD/mbart-large-50: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/CLARA-MeD/mbart-large-50/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://CLARA-MeD/mbart-large-50@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CLARA-MeD/mbart-large-50/resolve/refs%2Fpr%2F1/training_args.bin
3.58 kB
- Xet hash:
- a47603f1a969af8db0dc2e1c02bd99ab6a1861d611ed7f897ce04df9f49d0cbf
- Size of remote file:
- 3.58 kB
- SHA256:
- c788e49bad08e7f017bfe03a5116cc3fe144f41fda1429928bda3a3dc49801d8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.