Token Classification
Transformers
PyTorch
English
Hindi
ner
address-parsing
indian-addresses
bert
crf
Eval Results (legacy)
Instructions to use howdoiuse-keyboard/indian-address-parser-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howdoiuse-keyboard/indian-address-parser-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="howdoiuse-keyboard/indian-address-parser-model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("howdoiuse-keyboard/indian-address-parser-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -88,12 +88,4 @@ print(result.house_number) # "PLOT NO752"
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print(result.floor) # "FIRST FLOOR"
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print(result.city) # "NEW DELHI"
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print(result.pincode) # "110041"
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```
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## Demo
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Try the live demo: [HuggingFace Space](https://huggingface.co/spaces/YOUR_USERNAME/indian-address-parser)
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## License
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MIT License
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print(result.floor) # "FIRST FLOOR"
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print(result.city) # "NEW DELHI"
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print(result.pincode) # "110041"
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```
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