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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("howdoiuse-keyboard/indian-address-parser-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from howdoiuse-keyboard/indian-address-parser-model: direct link, hf CLI and curl.
- Browser
- Download file 6.28 MB
-
https://huggingface.co/howdoiuse-keyboard/indian-address-parser-model/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://howdoiuse-keyboard/indian-address-parser-model@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/howdoiuse-keyboard/indian-address-parser-model/resolve/refs%2Fpr%2F2/tokenizer.json
6.28 MB
File too large to display, you can check the raw version instead.