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
-
Fix model name
e7833bc -
Update README.md
fa5c922 -
Update README.md
caf3164 -
Create README.md
bef8395 -
add tf model
3c27a5f -
add tokenizer
1eae274 -
add pytorch weights
616dc34 -
Update config.json
72a2f2f -
add flax weights
ybelkada122b317 -
initial commit
Younes Belkadaf1efd95