Instructions to use MultiBertGunjanPatrick/multiberts-seed-22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-22 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-22") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-22") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49f1e445154caf0acd2380054e182b6c94389dd01ff7c50fc5158639a439ef97
- Size of remote file:
- 441 MB
- SHA256:
- 64b033c2ebd1614238c0f666ed6379a6cf7da24c483c117fb7e2e5a5ef4d408f
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