Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_2
multiberts-seed_2-step_180k
Instructions to use google/multiberts-seed_2-step_180k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_2-step_180k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_2-step_180k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_2-step_180k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8efb39d72ea654cfae90eb8eca9f7c9b4102d93cb15cf829f2737d9b98ce18fc
- Size of remote file:
- 441 MB
- SHA256:
- 7c785c55dfc02677cc7813bfaf60be1e8c07f38c26b2cb9f986eb247ee003d2a
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