Instructions to use google/multiberts-seed_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_9 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_9") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 013c437eab653dd5d530fde31c14359ed310abe2e455760bb6508dc1005aac5b
- Size of remote file:
- 441 MB
- SHA256:
- 9f94b895a2b91c50d4b34c79dc9354df5f3d8d1099431061fc16a9d79e189aa2
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