Instructions to use NbAiLab/nb-t5-base-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-t5-base-v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-t5-base-v3") model = AutoModelForSeq2SeqLM.from_pretrained("NbAiLab/nb-t5-base-v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4687fb15cd5ac48e5efb23f72a306358a64e336a052da0f751d867a7a931f002
- Size of remote file:
- 1.1 GB
- SHA256:
- fd7c2b8047dcfcea749fcc07cea6578c8383b5087616365e68afde49b5505c07
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