Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_3
multiberts-seed_3-step_140k
Instructions to use google/multiberts-seed_3-step_140k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_3-step_140k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_3-step_140k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_3-step_140k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2687c5582d20a136852612c79e3d525444a0907fbb391020e5e30f3ee917cf7b
- Size of remote file:
- 441 MB
- SHA256:
- b6f63add64cf3e13d79e55817002530a12c40b734d1fdef6a63c4b7c7ab976e9
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