Instructions to use MultiBertGunjanPatrick/multiberts-seed-2-80k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-2-80k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-2-80k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-2-80k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57a99635a46a911353b6f7dfcc857b290940ca9e4c05cf54a0a46a5e7abe621d
- Size of remote file:
- 441 MB
- SHA256:
- 601028f379cfeda44ca7016a542487b2bd68df3cf1bf199528e1e175b19c0756
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