Instructions to use Copticoder/mbart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Copticoder/mbart with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Copticoder/mbart") model = AutoModelForSeq2SeqLM.from_pretrained("Copticoder/mbart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8fa76c82104c11b12026e6b8a846ae9a9285ce6e5c726a66592bf7fcd90ceee
- Size of remote file:
- 17.1 MB
- SHA256:
- e41dabff922166eed9f9f7505d178153b3dbdac49cdced059def87e4a88fb26b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.