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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xl") model = AutoModelForMultimodalLM.from_pretrained("google/flan-t5-xl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ff5844ec4a2a6c78ae57035cc8fbe68d16f01db41f8595c2e27b718f44c61c3
- Size of remote file:
- 1.95 GB
- SHA256:
- c0c677ddeb21009b6efd97146f37fc3a0396707fb5e63ade7aff64884dce9806
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