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FLAN-T5

docs/source/en/model_doc/flan-t5.md

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This model was released on 2022-10-20 and added to Hugging Face Transformers on 2023-06-20.

FLAN-T5

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Overview

FLAN-T5 was released in the paper Scaling Instruction-Finetuned Language Models - it is an enhanced version of T5 that has been finetuned in a mixture of tasks.

One can directly use FLAN-T5 weights without finetuning the model:

python
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer


model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small")

inputs = tokenizer("A step by step recipe to make bolognese pasta:", return_tensors="pt").to(model.device)
outputs = model.generate(**inputs)
print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
['Pour a cup of bolognese into a large bowl and add the pasta']

FLAN-T5 includes the same improvements as T5 version 1.1 (see here for the full details of the model's improvements.)

Google has released the following variants:

The original checkpoints can be found here.

<Tip>

Refer to T5's documentation page for all API reference, code examples and notebooks. For more details regarding training and evaluation of the FLAN-T5, refer to the model card.

</Tip>