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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d47649bdf3c33f466c3cb94a2a8935aeffba728e38fde1075dedf8bd592a7c26
- Size of remote file:
- 40 Bytes
- SHA256:
- ce6c72f09124acb4634a23ea7eb63aec00eba13595fe0887a7ef8116c5361376
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