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, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xl") model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-xl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7077a333080b0f840bf2ae0e88b1e2588c8ba0be133b9c0714a86ccda92b2adf
- Size of remote file:
- 9.45 GB
- SHA256:
- 99196ddfbe886e8ef860f52de979df64890edfc792c3d94ce0502991f347dd18
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