Instructions to use launch/POLITICS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use launch/POLITICS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="launch/POLITICS")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("launch/POLITICS") model = AutoModelForMaskedLM.from_pretrained("launch/POLITICS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7550e40667e78d442563e83ed500d3fac0c4c047c412725c0f1606a8d19d7e9a
- Size of remote file:
- 499 MB
- SHA256:
- 151d8e478c67d512782d9cfa4763546896b8037513cbf7920500de058f5ec393
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