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:
- db5f357f3de6602347503e7c24ab6391dde90ee3b5338e242ae62e24a0523280
- Size of remote file:
- 3.07 kB
- SHA256:
- ef4bf7115730fc8f80435cf45d736d580a305b38271815d1a8ca2f595a8af431
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