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:
- f13e07eb1226d989e9169b1b7b00694150e7ee3897872c170e83b7bc5939e145
- Size of remote file:
- 9.97 GB
- SHA256:
- 32309ed3c4c2c2dd040f9f2adc116f9cbb1ad180fe323d7d8b31153cb85ff8a0
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