Instructions to use google/t5-large-ssm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-large-ssm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-large-ssm") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-large-ssm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cd26dfcdf819d229698fd30427947f85afe8d3f013706223bfc643a8e096b5d
- Size of remote file:
- 2.95 GB
- SHA256:
- 14710f1a7dfa742b58e3034984f782db23b7d8851bbce635018ce874c0584356
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