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:
- 269b8b29f39510dd2f72664db3ead66a32c03bc91a8dbd94f656ec88496a74ec
- Size of remote file:
- 1.43 GB
- SHA256:
- 62647226929ac416abc356c3a78cf31fc78a0d11f7519d27f1d8eab3c04e43fc
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