Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-1200k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-1200k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1200k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-1200k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d7429fa8b71d3cfb3917f9b8e864c6dcec14f03b3354f9034ddd8e8cbe2dfcf
- Size of remote file:
- 441 MB
- SHA256:
- a5824ddac7038afed9e7a6f286ac7d48387e26aa678b526f831f07a0f683cdd2
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