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:
- fded548509395d679b0667e10af2d86e483160917485d3ea40beacb96a52659e
- Size of remote file:
- 2.95 GB
- SHA256:
- d9db61166eda29c5e1d67d9c6e259f4b9a288b004e37e9fb0dda9e65a88bb709
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