Instructions to use mpajas/AddressBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpajas/AddressBERT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("mpajas/AddressBERT") model = AutoModelForPreTraining.from_pretrained("mpajas/AddressBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c751352334471061a5eb20cf719de781cf6abcdc4d39bfc626eefc782a69024
- Size of remote file:
- 672 MB
- SHA256:
- 7fe923402d7a75f0a4fbc0c5b68545ee5d641740ff578678ea4bb24009df79ea
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