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, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-xxl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df4febeb19dabbeeaa858c2b441abbafd5f5bf2f0f4f8c0f59fffaab919b41d5
- Size of remote file:
- 9.6 GB
- SHA256:
- 685334dbb04020ebe63f1d10c6d1401d8fc11dc650fd83582311dc8a3d7c9f1f
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