Instructions to use Declan/Politico_model_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/Politico_model_v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/Politico_model_v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/Politico_model_v6") model = AutoModelForMaskedLM.from_pretrained("Declan/Politico_model_v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/Politico_model_v6: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/Politico_model_v6/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/Politico_model_v6/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/Politico_model_v6/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- c2a0f3b0dd44fe1f837a69061edc5e711164289949f80fd2fca8b2c463131202
- Size of remote file:
- 438 MB
- SHA256:
- b2c2400f46e6dacf44cbfd6191b8d8a67bdf89db7830be6f0e57a6f81fcfb6bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.