Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_0
multiberts-seed_0-step_800k
Instructions to use google/multiberts-seed_0-step_800k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_0-step_800k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_0-step_800k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_0-step_800k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18211f909c682b41c18da1bb254042e53ebb8b02b38f33fd474ce77525ca636c
- Size of remote file:
- 441 MB
- SHA256:
- 8dd28abc5f97441e84df14427ab99df6ee5d85086dc76cd5e3dc7265d73f92d3
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