Instructions to use MeetK/bart_summarisation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MeetK/bart_summarisation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MeetK/bart_summarisation") model = AutoModelForSeq2SeqLM.from_pretrained("MeetK/bart_summarisation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b593991e5f0c895a1a0f0eae6b1bef29115494a622e0029cd552ad53321eccb
- Size of remote file:
- 1.63 GB
- SHA256:
- da8b50311e633c61c1b0e3b6e365c8e5774bb5c77794ad08597f9a1ed0a4a65b
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