Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_4
multiberts-seed_4-step_2000k
Instructions to use google/multiberts-seed_4-step_2000k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_4-step_2000k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_4-step_2000k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_4-step_2000k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8835b62e994819e96f84a5615c150d9f85ed250ff650314d5c807f513341db6f
- Size of remote file:
- 441 MB
- SHA256:
- 0c6bfafb59b0b88dd4c2474436c1fded429964774c46ce9bf63ad9987131e783
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