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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hnabil/t5-address-standardizer") model = AutoModelForSeq2SeqLM.from_pretrained("Hnabil/t5-address-standardizer") - Notebooks
- Google Colab
- Kaggle
Is this model trained on US dataset?
#2
by ycffm - opened
I am using this model to standardize the address text in my own project for addresses in Europe, Middle East and LATAM region. It seems that the model is prone to return an address with "US" in the end. Therefore I am wondering if it is mostly trained on US dataset.
Yes, the model was primarily trained on datasets with a US.
I m not sure where to find good data for the other regions