Instructions to use Declan/Breitbart_model_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/Breitbart_model_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/Breitbart_model_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/Breitbart_model_v1") model = AutoModelForMaskedLM.from_pretrained("Declan/Breitbart_model_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
48c8bfc | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:99138db2d6e053bc0fd6f0e754d2f765497b984390aa641507e25b91d3bb7f49
size 438139115
|