Instructions to use Hnabil/t5-address-standardizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hnabil/t5-address-standardizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hnabil/t5-address-standardizer") model = AutoModelForSeq2SeqLM.from_pretrained("Hnabil/t5-address-standardizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Indicate that it work for US addresses only
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (502d5ee238aa8b9e02644c2dde4ea72e5db7a4b0) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>626cd7f
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Update config.json
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initial commit
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