Instructions to use MultiBertGunjanPatrick/multiberts-seed-3-1900k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-3-1900k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-3-1900k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-3-1900k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34e6f49b4b36d259dcbcd40747c55fdd6a5618a491cca99317aa7527aae3e564
- Size of remote file:
- 441 MB
- SHA256:
- aa08ff5d3cb40db52c13685549ff5d9ae3f2d730eee8f35407e6167a673a0ecd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.