Instructions to use MultiBertGunjanPatrick/multiberts-seed-2-1400k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-2-1400k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-2-1400k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-2-1400k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fae750f38e82592d128ade79e2f82e0698e8b12f5b4f405298380569e2445db
- Size of remote file:
- 441 MB
- SHA256:
- 288c730ad0fea5a88f6ba3ea68ddde7c705048c562a853fe7acdada3e565861a
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