Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-0k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-0k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-0k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-0k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c510138dcdda17f0e822504b99006f6a008a2fc76728c4e6df03f35e8a6dcbf
- Size of remote file:
- 441 MB
- SHA256:
- f5d1f454f2474be060a72b87ede6cabc22adbf538fa96e1d1799e2e126461fcf
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