Instructions to use google/t5-large-ssm-nqo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-large-ssm-nqo with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-large-ssm-nqo") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-large-ssm-nqo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 228ff86d871c9a7f8d9286bed347c66dbd4999b5b7d5d5efe3d9c335e81b66db
- Size of remote file:
- 2.95 GB
- SHA256:
- 40b987dfff7d75584df3d7a0df22a66564952b790edff3cfb526efebd4cb3e59
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