Instructions to use voidful/unit-mbart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/unit-mbart-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/unit-mbart-large") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/unit-mbart-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4efc85d267dd0c586a5881dd355ce69cc7f024317463d70fc14cdf7e9e959901
- Size of remote file:
- 1.42 GB
- SHA256:
- 6584eec9ba89579a7b7fbc0c9206cb8a9e04bb760c61f09b9f13bfef0f533271
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