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:
- 08f4e5120c14902baa8644435cf4fbb3281ddc4b60e65590d13315c6bfc67974
- Size of remote file:
- 9.97 GB
- SHA256:
- 22e2ed0ca1e11ec66d512f02decb37fe5faf35778f675b436502bf0edc302922
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