Instructions to use voidism/bart-large-gar-nq-answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidism/bart-large-gar-nq-answer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidism/bart-large-gar-nq-answer") model = AutoModelForSeq2SeqLM.from_pretrained("voidism/bart-large-gar-nq-answer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6daa21111a5ea72939ae0071c13e94168e0194a26fdb64e936785d9ff1ed2e8
- Size of remote file:
- 1.63 GB
- SHA256:
- 83ed89fde53c1bdab55387b7df9e0b99363d9a814f54b359bd8a82b5263a13dd
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