Instructions to use MultiBertGunjanPatrick/multiberts-seed-4-300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-4-300k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-300k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-300k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f83296932d3650d3ecd32f539195aa6ade28e18ee3853d296cbead46fd516ad4
- Size of remote file:
- 441 MB
- SHA256:
- 7443d2666818866445ad26edcbe304f6cca3ca1142781a08cf1b28d262619594
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.