Instructions to use google/t5-v1_1-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-v1_1-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-v1_1-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-v1_1-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5348080e5740960a4e875ebff52bbbf559090cf5c8843a884ee86dd426955b70
- Size of remote file:
- 308 MB
- SHA256:
- 7c9a3e998a8c74b52484f3a1ccfdcc9767972ee6b34ae7a527cdf6f972a34163
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