Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_3
multiberts-seed_3-step_2000k
Instructions to use google/multiberts-seed_3-step_2000k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_3-step_2000k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_3-step_2000k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_3-step_2000k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29e5ea1f7a63a739bd7715aa895519347cd05701198c67b62786511eef1d0af2
- Size of remote file:
- 536 MB
- SHA256:
- 255eab70636e875d76ed2fdac3582e4439f2ccc10fdebdf2671e46fee2102f13
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