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
- Xet hash:
- b60f95b32d3e053876de89d2b91f15b00b3e95430a7ba05d870d8bfbcfd1a649
- Size of remote file:
- 1.11 GB
- SHA256:
- da8bab12dd12f696b0d02bbe8feb2f6ed258aaf4ab2a7c962488f67dc8ffdf4a
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