Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_2
multiberts-seed_2-step_700k
Instructions to use google/multiberts-seed_2-step_700k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_2-step_700k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_2-step_700k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_2-step_700k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60c6e8e9eb0122aec86e27add9d610e885283cc40fa7da9a96a27a77ef747fb6
- Size of remote file:
- 441 MB
- SHA256:
- 6e1418033f95a878d7ebe56c55810bd5830a40d5103d961a4edcd717f50e917c
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