Instructions to use google/multiberts-seed_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_12") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 791f08510fad6db8c29df08b13c9576ae0e8b21cf6ec6ba18f36b06ee5626ca3
- Size of remote file:
- 441 MB
- SHA256:
- 9abbdda509e08902c932e19d0f44f15c77ab16ee97425351c511cf3ae1928b96
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