Instructions to use google/flan-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/flan-t5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ee0d157496b19fef72096e2c9e2768b59c9c799caafd1133c9344bbe5b070d2
- Size of remote file:
- 3.13 GB
- SHA256:
- 44c5f419a8cb7b2c7d2f89c49ea324220ae403178405be0c9ead68d76445e558
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