Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_2
multiberts-seed_2-step_900k
Instructions to use google/multiberts-seed_2-step_900k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_2-step_900k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_2-step_900k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_2-step_900k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb903ef09b7f0541f8e6d919ef52fcb5eb9d8f90e9411d0f7c2bf90a3863bc8d
- Size of remote file:
- 441 MB
- SHA256:
- 5f4c08bf5bd91895ae9df9a38c99dd772c5dc6a5b3d5bc1813a689a3fa6a5c03
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