Instructions to use google/t5-v1_1-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-v1_1-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-v1_1-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-v1_1-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a20164ff04bbafc56d9741bcbf849af5d4775ea1b31479781b7fefc15f8e38c
- Size of remote file:
- 3.13 GB
- SHA256:
- 139f33b8a7887cd4ad38d812686f10e8c036226370b323585f4ecd89e992c7ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.