Instructions to use abhi884/distilbart-multi-task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi884/distilbart-multi-task with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhi884/distilbart-multi-task") model = AutoModelForSeq2SeqLM.from_pretrained("abhi884/distilbart-multi-task", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bcb8f547cefd0511886770aeb67bbb646dc79caf193287afe17c13ff82e4322
- Size of remote file:
- 558 MB
- SHA256:
- 1c84cb2d781a9f490f417bba520d2263f5f8f7db49b6518ffcc5c317ef524045
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