Instructions to use google/flan-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/flan-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
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Adding generation config file(s)
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Update correct `gelu` function (#8)
- Update correct `gelu` function (d76732216083fbc26a721b5cf3a653978fdb64ef)c5050bc
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Update README.md (#7)
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Update README.md (#3)
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Fix model name (#1)
- Fix model name (e7833bc34c6907231c404663e4d4546212d4ec07) Co-authored-by: Manuel Romero <mrm8488@users.noreply.huggingface.co>d2de2da -
Update README.md
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add tf model
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add tokenizer
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add flax weights
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initial commit
Younes Belkadaf1efd95