Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-20k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-20k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-20k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd09d625c040f8830324a0f97605933a36d75d29ca10f1a6569299a044f520ab
- Size of remote file:
- 441 MB
- SHA256:
- a90d8a128d5078546155318bc5e7e334a9320af258e556ede9e3f3b482c87c55
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