Instructions to use google/multiberts-seed_23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_23 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_23") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_23") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a379e756177a4ebef58e7afa8b840261231bc5933c59c50bb509163e4869757
- Size of remote file:
- 441 MB
- SHA256:
- 0d031132d3437fb5ef83b690415bfe61cd9e213562532d0aa06473363359bec5
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