Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-800k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-800k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-800k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-800k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd4f29234b06a19ee1dced05c469f28a21fa26437c37dd520f6591d741c7a13b
- Size of remote file:
- 441 MB
- SHA256:
- 96b10bf5d24d49f03266cfc2c31c0c43836860d5f9952819511c40cc46cefa89
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