Instructions to use google/multiberts-seed_13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_13 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_13") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6cc8ce951b6594d1796026f049b8c9cb5b6948ebc0bf50f004c560e46fd0db1
- Size of remote file:
- 441 MB
- SHA256:
- 9734d51c2f3716d25aea5737b64f7c07150f3c4761e5094d1d96a0581af9f27b
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