Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_3
multiberts-seed_3-step_500k
Instructions to use google/multiberts-seed_3-step_500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_3-step_500k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_3-step_500k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_3-step_500k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5515e2eb07795fda2365ce45edfec7df210e6e127678f3942a554570884b55ee
- Size of remote file:
- 441 MB
- SHA256:
- 2bcc073e6e27d1c716a70450e125405284f44063236127b122f349ab3e30f5b9
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