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, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b3c8d2eda2d5ce38bf4e3a7e6a2f1de95b2eaba8435f3859603c7c9c65bfc25
- Size of remote file:
- 1.19 GB
- SHA256:
- 8cf13641aecafcf14bea1d4d4b07fe0a69f4aad0431d57bfb20c23a846ffd88f
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