Instructions to use MultiBertGunjanPatrick/multiberts-seed-4-1000k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-4-1000k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-1000k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-4-1000k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 920d0c3b395d11da09de595256a4a437c1825fc7f84b8a55a6d5769ca6509c46
- Size of remote file:
- 441 MB
- SHA256:
- 70a09749bb9677e5148f86f215778669e1721a4bf6a9b269e6faf994d85506bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.