Instructions to use MultiBertGunjanPatrick/multiberts-seed-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-5") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cbb37b2b034804ce399ae81afc41edaa3c6f7d86f6693e53a1912cadc8674b8
- Size of remote file:
- 441 MB
- SHA256:
- affb451c49c2ab21361a0192f841bd48d9860ebaf2f21016cfbec21181658e04
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