Instructions to use google/t5-11b-ssm-tqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-11b-ssm-tqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-11b-ssm-tqa") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-11b-ssm-tqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c2718d9ef76fd0276ad42c4612832fbeaa38dccaeec40c6fe2d60d7ad497ea4
- Size of remote file:
- 45.2 GB
- SHA256:
- f020688951c20bc21a6eb58770b07966ad86e72d64a2f74e6360f0760036bc47
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