Instructions to use google/t5-small-ssm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-small-ssm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-small-ssm") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-small-ssm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b164c46663ebf4c4ffffd6b6f611ca35ad7b7debc7f62982d936bb7246ded4a1
- Size of remote file:
- 308 MB
- SHA256:
- 7e1c1cfcd9af03fbc8a5a809c349090dfb6a6de64ff3c2fbf230e7042a69973f
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