Instructions to use CAUKiel/JavaBERT-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAUKiel/JavaBERT-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CAUKiel/JavaBERT-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CAUKiel/JavaBERT-uncased") model = AutoModelForMaskedLM.from_pretrained("CAUKiel/JavaBERT-uncased") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 316cba1
Update README - Typo 004cc4f
Updated README to use better example in the widget 7834ea8
Added text example to README file fa5b5a8
Update README - typos & added tags d6294a8
Create README.md f34e776
Init 876d1eb
Nelson Tavares de Sousa commited on