Instructions to use MultiBertGunjanPatrick/multiberts-seed-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-6") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e0a071e3a0b87724f275cf17ac715a0ee4c112d32e61b8cf047b7f2652e5129
- Size of remote file:
- 441 MB
- SHA256:
- 474a61f7ba56637784bc03b97a44d2b1044b0bbb2cd484c6ca09f99c5680209f
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