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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Indicate that it work for US addresses only
Browse files
README.md
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# Address Standardization and Correction Model
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This model is [t5-base](https://huggingface.co/t5-base) fine-tuned to transform incorrect and non-standard addresses into standardized addresses.
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## How to use the model
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# Address Standardization and Correction Model
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This model is [t5-base](https://huggingface.co/t5-base) fine-tuned to transform incorrect and non-standard addresses into standardized addresses. , primarily trained for US addresses.
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## How to use the model
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