Instructions to use debbiesoon/bart_large_summarise_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/bart_large_summarise_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/bart_large_summarise_v2") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/bart_large_summarise_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6a9f17cf77aa94cacaff0d2b41e008b3ed9425a47b8a6b1074bf9bed30d88c4
- Size of remote file:
- 1.63 GB
- SHA256:
- 8d2be80c8baa5bb6d7cb203fe55b88b160b433f676a325c330e1b702833aa784
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