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:
- 97ec386946b2090a2ad2aea3a53caa17f9bc5593e1001d7627125c7d5e7c19f4
- Size of remote file:
- 1.63 GB
- SHA256:
- 1013454831ed442e478686aa78a79637d4ac88260a16fe02b31f6179009f97f2
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