Instructions to use google/flan-t5-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/flan-t5-xxl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xxl") model = AutoModelForMultimodalLM.from_pretrained("google/flan-t5-xxl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc916d2213bdb884a9fa8aeb1e9780f412e2d4b7e7e7278bd03fa8a7f7181432
- Size of remote file:
- 9.93 GB
- SHA256:
- f22f1007bc7f7df18cd01258ca980ed570f3ef9c0d0d2e7dfaf214693e92b28c
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