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