Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_4
multiberts-seed_4-step_1400k
Instructions to use google/multiberts-seed_4-step_1400k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_4-step_1400k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_4-step_1400k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_4-step_1400k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 914c77a98b920315f8b5629db21cc1b07faf08748e1b5108cab825587de928c0
- Size of remote file:
- 441 MB
- SHA256:
- 29a39a3d67de19f9d9dfe51859be80369676a039b4da4df7b5d95039a4a7246a
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