Instructions to use MultiBertGunjanPatrick/multiberts-seed-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4080d8428f863a55a3c0e1a477e4961df88d34ede2c2b70761bea641d0df111b
- Size of remote file:
- 441 MB
- SHA256:
- f014b190ff3c0f0c236effc9c6c1a66d07b0784fa04e0e08b372c49b12f0ab9b
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