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:
- 7d453262035e686a8af6b25a96136f9e92f5757f7a7c943b69c46c84940fe3b0
- Size of remote file:
- 536 MB
- SHA256:
- 5b3c6a39886855dfc1ced08e78cf45e9ae892d7cf81f8bec6949e3b2b8357449
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