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 pytorch_model.bin from CLARA-MeD/mbart-large-50: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/CLARA-MeD/mbart-large-50/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://CLARA-MeD/mbart-large-50@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CLARA-MeD/mbart-large-50/resolve/refs%2Fpr%2F1/pytorch_model.bin
2.44 GB
- Xet hash:
- af170933d6286cd0e494ce559ad70b799d2df120a4fbf40d589e3fcd2685cece
- Size of remote file:
- 2.44 GB
- SHA256:
- cd77a2be5c344aba3b4311bf42ec3148f1249deee2de68e01e56c9c591968d7b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.