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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from launch/POLITICS: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/launch/POLITICS/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://launch/POLITICS@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/launch/POLITICS/resolve/refs%2Fpr%2F2/pytorch_model.bin
499 MB
- Xet hash:
- 148fdcb9db55b6dd921bb7cc65e1a2ad32ab369b3eb3d2564cc99ad4111119b6
- Size of remote file:
- 499 MB
- SHA256:
- b82a3614566ddd192bb2c7699711b8904d62d6edb1478278428cfc091bc48afe
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