Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-900k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-900k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-900k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-900k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c5c19022df17e137955427fd281df142824bfc24b5b6c454560b1bc6354587f
- Size of remote file:
- 441 MB
- SHA256:
- 7d07f5742e00696ff570f48aea349786b89c98a3780d7324b59fdcfed1b1c49a
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