Instructions to use google/multiberts-seed_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_2") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b88ccb71ef04c1598b649adab6e6c97ffe4840aff1759b56a33d86f13243d133
- Size of remote file:
- 441 MB
- SHA256:
- 538597638730e8db2963e645cbe60b8d11147a12e258a16d22eed4743adc2419
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