Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-1300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-1300k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1300k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1300k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ac5d110918abb83c357821e48e92a713f22bd0096071a1b8afce8a2fa292a85
- Size of remote file:
- 441 MB
- SHA256:
- d967da9467bccc0a34b04df19d2f43304b8d7419a93dab75c82ea94509051540
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