Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-140k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-140k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-140k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-140k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99ad025a35ec3244c23be31ecbbd7f519dcd22c7b0cb91594cba543f71a1e4ef
- Size of remote file:
- 441 MB
- SHA256:
- 562a558c3ab2de1c68a7640e5921537f9ebe6597c22c570adc6f4df0cfcde50a
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