Instructions to use google/flan-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/flan-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base") model = AutoModelForMultimodalLM.from_pretrained("google/flan-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea0b1355a66f43b8d45a9a16807a58a510af940997d21f4f9ad7b9149b62f215
- Size of remote file:
- 990 MB
- SHA256:
- 1dfb70afdcedceb9f9fae2f9b68e004ad934361fb35b9b2bd50b45ea90790fc8
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