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:
- 8043747a4a700d56d76eda12c20c5f39faf8e7e2bc5c231bdb10283c151e8bb9
- Size of remote file:
- 1.43 GB
- SHA256:
- e4ab8e7cf8238bc7eff23d1f6f47a7f67cda1c506e0f4b041329625f636e6d6b
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