Instructions to use ritvic/t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ritvic/t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("ritvic/t5") model = AutoModelForMultimodalLM.from_pretrained("ritvic/t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f85aa73bed97f5c37ccadb1022a38955403d70649664d4dbb3f3b242936efbb
- Size of remote file:
- 892 MB
- SHA256:
- acd32bc043d03af777f771015ac35bb4b8c939f676199f2c4672be06103d959f
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