Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_0
multiberts-seed_0-step_80k
Instructions to use google/multiberts-seed_0-step_80k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_0-step_80k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_0-step_80k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_0-step_80k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a57f3932eec308d1ee31d92c92a2a7b02b73500ba32c71a5ad89dc66527e5cbd
- Size of remote file:
- 441 MB
- SHA256:
- 4102f5ccd257a4f18e98b8498731016ada3381963a311acfecbb0cda64b76c55
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