Instructions to use google/flan-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/flan-t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0273e23dc054e2d0b6ee690aefa6bbdd171140dda8b38458976640e7848617b4
- Size of remote file:
- 440 MB
- SHA256:
- 9c951cf31decd4a719df82f84d0ad38fca5173b09393b22b864ab8a55ba03d7c
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