Instructions to use debbiesoon/bart_large_summarise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/bart_large_summarise with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/bart_large_summarise") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/bart_large_summarise", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e99dc9a6b9d7abc0282e561ac5a9e19321f14b9ee039a2673c2c61bfba3b98fe
- Size of remote file:
- 1.63 GB
- SHA256:
- e1f747d6674638d64303b654fe945a93e5a78a8a55850af8dd1fb23a4aa5103b
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