Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-80k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-80k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-80k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-80k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2ee447ec5fa86f6211259f5733af1abba4b4806409a0d49aa756880f9a0d4a6
- Size of remote file:
- 441 MB
- SHA256:
- 140086cdc16d800a0e555f6b40535ed02d54af4b7f14a7a2e03135b355e2e814
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