Instructions to use language-ml-lab/AzerBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use language-ml-lab/AzerBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="language-ml-lab/AzerBert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/AzerBert") model = AutoModelForMaskedLM.from_pretrained("language-ml-lab/AzerBert") - Notebooks
- Google Colab
- Kaggle
Ctrl+K