Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_0
multiberts-seed_0-step_1900k
Instructions to use google/multiberts-seed_0-step_1900k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_0-step_1900k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_0-step_1900k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_0-step_1900k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f3f24e0bc0f11f31369b6346b930f87c24f24e5b5f04b91f13e59f055646e7e
- Size of remote file:
- 441 MB
- SHA256:
- adf43c0d85f14519525c77605361f25aa5aaf167707365e58a3b4841bf01ce88
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