Instructions to use aya-se/bart-large-qmsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aya-se/bart-large-qmsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aya-se/bart-large-qmsum") model = AutoModelForSeq2SeqLM.from_pretrained("aya-se/bart-large-qmsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e959704670578774e9fbc0d35c2f29f3d972f35bcc598be6a7f6ed8fed33eca9
- Size of remote file:
- 2.93 kB
- SHA256:
- 6fe65195d93aab5c763905e8b0bed30e5bf9a4289b7592e5a8089c828a231a06
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