Instructions to use google/bert_uncased_L-8_H-256_A-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bert_uncased_L-8_H-256_A-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-8_H-256_A-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc917345712dc1738f63d01043d7bb26edff214957573e7601d852bec64b0ee4
- Size of remote file:
- 57.3 MB
- SHA256:
- ecc7f423fe28ead335269f0dd3544c31a583d899ec98f4d91154f068d148c1ec
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