Transformers
PyTorch
TensorFlow
English
bert
pretraining
multiberts
multiberts-seed_1
multiberts-seed_1-step_1100k
Instructions to use google/multiberts-seed_1-step_1100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/multiberts-seed_1-step_1100k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/multiberts-seed_1-step_1100k") model = AutoModelForPreTraining.from_pretrained("google/multiberts-seed_1-step_1100k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dd4594b2f770d73a916fd598ea782b25dc4457378c2d2f51c855371a7c340d3
- Size of remote file:
- 441 MB
- SHA256:
- f791ddcddd5e577bcba0779f26e37f57dc9d75d1689ded3cf646dfb957594f57
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