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:
- 3b315d89ec20d867b6d93861962fac8d56fc534ac298cd8caec803cd3885918d
- Size of remote file:
- 499 MB
- SHA256:
- 0e8fa1452414ed078f930272547f2f2a9ff69224547f1b4ac5630fa36840c387
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