Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-1000k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-1000k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1000k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1000k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0319c044bd21507f59a22b4879484a0924b18739bf24cbdb389e094ed6fe3eee
- Size of remote file:
- 441 MB
- SHA256:
- 97eaf052cbe375e3dae57b07295c4d7076bb70d67ec9273588f0bb3d1292b00c
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