Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_4
multiberts-seed_4-step_1000k
Instructions to use google/multiberts-seed_4-step_1000k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_4-step_1000k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_4-step_1000k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_4-step_1000k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13b7bd13372c38b16f5ddd4b5a752de0470ff7a3f0f69ba44764cdef80956eb6
- Size of remote file:
- 441 MB
- SHA256:
- 70a09749bb9677e5148f86f215778669e1721a4bf6a9b269e6faf994d85506bc
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