Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-700k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-700k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-700k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-700k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3ee33494810726fc8c94e76a4826e67c533485e1fd7473ce4bd601ffcacbadc
- Size of remote file:
- 441 MB
- SHA256:
- 0dabaff7db591c0d4fbcd255083a721a056c7d91b92df8a9475d60f2fbc435c1
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