Instructions to use Declan/Breitbart_model_v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/Breitbart_model_v8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/Breitbart_model_v8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/Breitbart_model_v8") model = AutoModelForMaskedLM.from_pretrained("Declan/Breitbart_model_v8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/Breitbart_model_v8: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/Breitbart_model_v8/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Declan/Breitbart_model_v8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/Breitbart_model_v8/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- b3de8cb05e61df15d95268110dc8e2241023e7dc309817e47ae8ad4cd4218b29
- Size of remote file:
- 438 MB
- SHA256:
- a4bf3edf18440d25eb3651c5e0b2e8daa43048fb377dc86c70821ee08306782a
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