Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_4
multiberts-seed_4-step_700k
Instructions to use google/multiberts-seed_4-step_700k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_4-step_700k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_4-step_700k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_4-step_700k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe360f4bef390ce160a04f49b8ec5df46ac2fbb78600f95aeb54757684cfd7f5
- Size of remote file:
- 441 MB
- SHA256:
- 3780a37874e6b059d932e668427fa7af865a88bba8e66a4fca7953a4b8d56626
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