Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_4
multiberts-seed_4-step_180k
Instructions to use google/multiberts-seed_4-step_180k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_4-step_180k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_4-step_180k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_4-step_180k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c50a3cbeb2d2bcf61af673257c01b31091fb18f4eb54988486a590883bd0da5
- Size of remote file:
- 441 MB
- SHA256:
- cb2258ce6438bd161e29120a317343e45d590743528227f20d5f165251736288
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