Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_4
multiberts-seed_4-step_1900k
Instructions to use google/multiberts-seed_4-step_1900k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_4-step_1900k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_4-step_1900k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_4-step_1900k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a418b2766484f55f764b80693c746f35c07f8cea01c604e802f2c95a8c670d7a
- Size of remote file:
- 441 MB
- SHA256:
- fd878482ba08aebfee86f7afa03eb409b00bb5b64a5f5034de8466fcaa34b683
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