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:
- 6acb653f3c05b8398d386c9e96027f0bde0a3e41095eb0278514608891324f49
- Size of remote file:
- 3.13 GB
- SHA256:
- a9dd06ce490f139af36e9eb77dd3758b4fd07a08a73d5a1abe5ff2591e2d388e
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