Instructions to use google/t5-v1_1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-v1_1-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-v1_1-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-v1_1-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8b3dbf092d13cb8abbef3b817d4b4780ae8e80814157c5469e88607bd083c6b
- Size of remote file:
- 990 MB
- SHA256:
- 1d51351caeff6b750968985458a25b74622657f492c01cc62dbf3a61074725eb
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