Instructions to use google/ul2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/ul2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/ul2") model = AutoModelForSeq2SeqLM.from_pretrained("google/ul2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63b82fba5dccec774b3fb6a4c2f41cfbd2fa70b39f6844e313e281a54dbee0b5
- Size of remote file:
- 9.93 GB
- SHA256:
- 83c197cfd5d5a61ee159ea101a22e3fa61861a0d94ee19cabb49648a34061a2f
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