Instructions to use cahya/bert-base-indonesian-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/bert-base-indonesian-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cahya/bert-base-indonesian-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cahya/bert-base-indonesian-NER") model = AutoModelForTokenClassification.from_pretrained("cahya/bert-base-indonesian-NER") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
4d361d0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0e9285fce69980929baa88f49c41b790420e1fa29158b16c32999a88668a22bd
size 440234118
|