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
File size: 134 Bytes
dd63e1e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e7a8ddeccd6c42019298ba733a80c6203f741f217472cd47310838568e6eb175
size 430967977
|