Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-1900k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-1900k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1900k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1900k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3bfa2a80d056d840a75f1594a9ba4236366a3fa271c05b32e08dab82a847da1
- Size of remote file:
- 441 MB
- SHA256:
- adf43c0d85f14519525c77605361f25aa5aaf167707365e58a3b4841bf01ce88
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