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:
# 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
- Xet hash:
- 934bfc07018f6ffc1ce3e455e74d70d1d3ad192b5dac99e0a07c72383d9f3c43
- Size of remote file:
- 2.44 GB
- SHA256:
- 891980825fd5bc4a0d1f21adb4efd0308ae4e71f6ccef63d64d8a90fb1b434a0
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