Instructions to use ctrlbuzz/bert-addresses with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctrlbuzz/bert-addresses with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ctrlbuzz/bert-addresses")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ctrlbuzz/bert-addresses") model = AutoModelForTokenClassification.from_pretrained("ctrlbuzz/bert-addresses") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77effdcffbca24bfe6fadc57c0811ecff88b3e3dfa7b500da6331028d45d415f
- Size of remote file:
- 431 MB
- SHA256:
- e7a8ddeccd6c42019298ba733a80c6203f741f217472cd47310838568e6eb175
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