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
- Xet hash:
- ef5df4612ad7ee3707d960ec073aa08934e4add12cdf697c642150a39362d4ab
- Size of remote file:
- 892 MB
- SHA256:
- 498fff4dc4ccda9f9923ef16cb5abaedf7b68287b9a8b998598241fcb39f5e55
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