Instructions to use MultiBertGunjanPatrick/multiberts-seed-4-900k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-4-900k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-900k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-900k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09fe89bb2eb36337303886e1b519e184e60331476bfff8e5574e437444a3d5a3
- Size of remote file:
- 441 MB
- SHA256:
- 69f80c0fdf49206cf3d66af0363638ffff64cddaa06f71f8d0ac983125ca35ce
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