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:
- f54e08939a9b7ecfde173cb89aa0b1e01279471c08ecd5fc10ad1a1c341bdbe4
- Size of remote file:
- 9.99 GB
- SHA256:
- 75f4ae8c4595f4c347def1730867bcf9c600e4628293a721c905c959eba777a5
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