Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-120k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-120k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-120k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-120k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d442c8625245264eda9f3b03a0dee4f3c3ab7f9b79575a6dfea9a40346878ca
- Size of remote file:
- 441 MB
- SHA256:
- b19235c161f87f5e44a021416607b6b9f2dc8cc49b95b653772163fb4df61324
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