Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_1
multiberts-seed_1-step_800k
Instructions to use google/multiberts-seed_1-step_800k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_1-step_800k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_1-step_800k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_1-step_800k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c7b8204167dd0f859f5a251d062eae448cff6e3882356bfd6d82da50a6ba906
- Size of remote file:
- 441 MB
- SHA256:
- 96b10bf5d24d49f03266cfc2c31c0c43836860d5f9952819511c40cc46cefa89
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