Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-1800k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-1800k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1800k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1800k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4180973226b2df5e2801d3229253243c4bee6a9be15156e51c1b687657e3b098
- Size of remote file:
- 441 MB
- SHA256:
- 1bdffc476b6460bb4e0a16aab25a30dbbd5fe7c79ea3d11d5304e1679b221fe3
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