Instructions to use google/multiberts-seed_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_3") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0775c2abec7f6d0a832ea66f348c72c5227b0701c8b34338d25362f1fe8095f
- Size of remote file:
- 441 MB
- SHA256:
- 4f41b6cf32ae578a16ffb9030d566fee58d6fb9446ac0194951ceb7830cdaff7
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