Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_4
multiberts-seed_4-step_200k
Instructions to use google/multiberts-seed_4-step_200k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_4-step_200k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_4-step_200k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_4-step_200k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcfba452a431c7d235df991612b1f5e4e19af12ecd2c4b9ef3cdc81597402cc8
- Size of remote file:
- 441 MB
- SHA256:
- 280b9f2cc0fb6624f607be9f8d0938afd4a3e098fbec0aace5a41096e752731d
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