Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_0
multiberts-seed_0-step_1600k
Instructions to use google/multiberts-seed_0-step_1600k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_0-step_1600k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_0-step_1600k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_0-step_1600k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b296a475450a0bac1ee24090ac51b0d17b7c10cccaa2ba034aaf75d1c40da8d2
- Size of remote file:
- 441 MB
- SHA256:
- c594bc98d903923fe583f7e38bbbee20f7ca45c2f4eb050f578cbcac362bd14b
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