Instructions to use Declan/Breitbart_model_v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/Breitbart_model_v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/Breitbart_model_v7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/Breitbart_model_v7") model = AutoModelForMaskedLM.from_pretrained("Declan/Breitbart_model_v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/Breitbart_model_v7: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/Breitbart_model_v7/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/Breitbart_model_v7/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/Breitbart_model_v7/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 7ecf9071604dfb9b59c4e7860853db3a89f7234de87be9f53506cd4d01a847e3
- Size of remote file:
- 438 MB
- SHA256:
- c8da6be7dfbfde6c586af27fe75bcb19f6d6dbc0203e61e4c3c2a8c235dabd59
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