Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_4
multiberts-seed_4-step_1700k
Instructions to use google/multiberts-seed_4-step_1700k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_4-step_1700k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_4-step_1700k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_4-step_1700k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0142cc3313601e8191bf9af4f7890da03264bcc70d050af6be057d9b916c9584
- Size of remote file:
- 441 MB
- SHA256:
- 1a2ee6e1708ecb3520c352d73851ef54cf2212f52d5a3f2e92dc466780851928
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