Instructions to use Declan/FoxNews_model_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/FoxNews_model_v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/FoxNews_model_v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/FoxNews_model_v6") model = AutoModelForMaskedLM.from_pretrained("Declan/FoxNews_model_v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/FoxNews_model_v6: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/FoxNews_model_v6/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/FoxNews_model_v6/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/FoxNews_model_v6/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 78b719bc492d1681f38bf9c1499748a608a74533e5495d5781c6286a641f483e
- Size of remote file:
- 438 MB
- SHA256:
- abbacf696c4bb7a8da19938aaf7828077ff11cdaa64ae4781010a75388b9e4a9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.