Instructions to use google/flan-t5-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/flan-t5-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xl") model = AutoModelForMultimodalLM.from_pretrained("google/flan-t5-xl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7d7ecd682ef6d3289abb3a4b89c0d0265130a1ad2ebaa332c4046279533faec
- Size of remote file:
- 9.45 GB
- SHA256:
- c43a96461e48c0218de822525f8ecd12a8318ed01364cb1ca595e9a238fa49d2
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