Instructions to use Declan/FoxNews_model_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/FoxNews_model_v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/FoxNews_model_v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/FoxNews_model_v4") model = AutoModelForMaskedLM.from_pretrained("Declan/FoxNews_model_v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/FoxNews_model_v4: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/FoxNews_model_v4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/FoxNews_model_v4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/FoxNews_model_v4/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- b923947e17eadc147855e5e65a8f251b770f6f88fd7c557f2f0ec93bca7116eb
- Size of remote file:
- 438 MB
- SHA256:
- 1db93431c0a275bd293789e8850bb03abba55856915f2368e771793852ed2564
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