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