Instructions to use MultiBertGunjanPatrick/multiberts-seed-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-10") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2455f2c2bb2f9b76ed67c64a384b19298625c1b1dbd406e19a414ea039fe67fd
- Size of remote file:
- 441 MB
- SHA256:
- 0dec711d9465d1313c5f5d19936d24df3bb2d49339d6beaf7f8bf3b20a726011
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