Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-600k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-600k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-600k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-600k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b7fb01f3cb5abea77575c0299c07e198a494e3297ceb675d05023fcea64def6
- Size of remote file:
- 441 MB
- SHA256:
- 7a655f6cba67cebe975c33547095ae3da38180b9f8e7ad7497b0ff93b9d3c1a6
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